2020-04-25 13:23:57.503327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2020-04-25 13:23:57.509874: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: Quadro P6000 major: 6 minor: 1 memoryClockRate(GHz): 1.645 pciBusID: 0000:3b:00.0 2020-04-25 13:23:57.510190: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0 2020-04-25 13:23:57.512294: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0 2020-04-25 13:23:57.514119: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0 2020-04-25 13:23:57.514546: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0 2020-04-25 13:23:57.516876: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0 2020-04-25 13:23:57.518663: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0 2020-04-25 13:23:57.524327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-04-25 13:23:57.526978: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 2020-04-25 13:24:06.256955: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2020-04-25 13:24:06.444391: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x62f2220 executing computations on platform CUDA. Devices: 2020-04-25 13:24:06.444459: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Quadro P6000, Compute Capability 6.1 2020-04-25 13:24:06.467666: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1700000000 Hz 2020-04-25 13:24:06.468557: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x62a4630 executing computations on platform Host. Devices: 2020-04-25 13:24:06.468595: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): , 2020-04-25 13:24:06.470042: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: Quadro P6000 major: 6 minor: 1 memoryClockRate(GHz): 1.645 pciBusID: 0000:3b:00.0 2020-04-25 13:24:06.470165: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0 2020-04-25 13:24:06.470194: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0 2020-04-25 13:24:06.470219: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0 2020-04-25 13:24:06.470243: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0 2020-04-25 13:24:06.470266: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0 2020-04-25 13:24:06.470290: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0 2020-04-25 13:24:06.470317: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-04-25 13:24:06.472882: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 2020-04-25 13:24:06.472936: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0 2020-04-25 13:24:06.475313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-04-25 13:24:06.475336: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 2020-04-25 13:24:06.475349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N 2020-04-25 13:24:06.478685: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14439 MB memory) -> physical GPU (device: 0, name: Quadro P6000, pci bus id: 0000:3b:00.0, compute capability: 6.1) Start 2020-04-25 13:23:57.528423 Parameters: contact_or_dist_or_binned binned num_chains_for_training -1 file_weights binned256.hdf5 training_window 128 training_epochs 8 arch_depth 128 filters_per_layer 64 pad_size 10 batch_size 2 dir_dataset ../../data/ Number of bins 34 Actual bins: {0: '0.0 4.0', 1: '4.0 4.2', 2: '4.2 4.4', 3: '4.4 4.6', 4: '4.6 4.8', 5: '4.8 5.0', 6: '5.0 5.2', 7: '5.2 5.4', 8: '5.4 5.6', 9: '5.6 5.8', 10: '5.8 6.0', 11: '6.0 6.2', 12: '6.2 6.4', 13: '6.4 6.6', 14: '6.6 6.8', 15: '6.8 7.0', 16: '7.0 7.2', 17: '7.2 7.4', 18: '7.4 7.6', 19: '7.6 7.8', 20: '7.8 8.0', 21: '8.0 8.4', 22: '8.4 9.0', 23: '9.0 9.8', 24: '9.8 10.8', 25: '10.8 12.0', 26: '12.0 13.4', 27: '13.4 15.0', 28: '15.0 16.8', 29: '16.8 18.8', 30: '18.8 21.0', 31: '21.0 23.4', 32: '23.4 26.0', 33: '26.0 1000.0'} Split into training and validation set.. Total validation proteins : 100 Total training proteins : 3356 Validation proteins: ['3aa0A', '5cs0A', '2z51A', '3q64A', '4p3aA', '1nkzA', '4d5tA', '1jogA', '4u89A', '3wisA', '1mkfA', '1kaeA', '4o8bA', '2gfqA', '4cmlA', '1vrmA', '4kwyA', '2yfaA', '1tnfA', '3pivA', '1nw1A', '4ng0A', '4qt9A', '3no4A', '3qd7X', '3o4pA', '3agnA', '2yilA', '4jivD', '4fz4A', '2g3vA', '2o0qA', '4levA', '1t6t1', '2fzpA', '1rj8A', '2z7fI', '1dx5I', '2gsoA', '4tshB', '3vtoA', '2p3yA', '3pcvA', '3kfoA', '3v6iB', '4htiA', '2q0tA', '4l3uA', '4pt1A', '3c1qA', '1ux5A', '1h9mA', '3oufA', '4rt5A', '3njcA', '2q73A', '1yz1A', '5c50B', '3hnxA', '1knyA', '1tr8A', '4qicB', '3f1iS', '2fyuI', '4ic9A', '3iruA', '2xu8A', '3g7lA', '3hshA', '1vq0A', '4z04A', '2huhA', '4dh2B', '2p9xA', '1m9zA', '2czrA', '2bh1X', '3ghfA', '4ui1C', '2otaA', '1vk1A', '1su1A', '3sfvB', '2f5tX', '1xyiA', '2okuA', '2h5nA', '1kptA', '2qc5A', '2hueC', '2i5vO', '2gs5A', '4lmoA', '4njcA', '3ronA', '3g1pA', '4m8aA', '3ajfA', '1j8uA', '4u65A'] len(train_generator) : 1678 len(valid_generator) : 50 Actual shape of X : (2, 128, 128, 57) Actual shape of Y : (2, 128, 128, 34) Channel summaries: Channel Avg Max Sum 1 0.3497 1.0000 5730.2 2 0.3450 1.0000 5652.9 3 0.5604 0.9971 9181.0 4 0.5649 0.9971 9255.5 5 0.0212 0.1790 346.9 6 0.0213 0.1790 349.7 7 0.0589 0.8262 964.8 8 0.0591 0.8262 968.6 9 0.0289 0.8042 474.0 10 0.0292 0.8042 477.9 11 0.0515 0.4890 843.1 12 0.0519 0.4890 849.9 13 0.0758 0.9673 1241.5 14 0.0764 0.9673 1251.6 15 0.0077 0.1740 125.7 16 0.0077 0.1740 126.7 17 0.0233 0.4348 381.1 18 0.0235 0.4348 384.2 19 0.0605 0.5542 991.5 20 0.0610 0.5542 999.6 21 0.0230 0.2771 377.1 22 0.0232 0.2771 380.2 23 0.0100 0.1631 164.5 24 0.0101 0.1631 165.8 25 0.0575 0.6577 942.0 26 0.0580 0.6577 949.7 27 0.1027 0.9673 1682.8 28 0.1035 0.9673 1696.5 29 0.0514 0.8911 842.4 30 0.0518 0.8911 849.2 31 0.0215 0.4021 351.7 32 0.0216 0.4021 354.5 33 0.0397 0.9238 650.5 34 0.0400 0.9238 655.8 35 0.0110 0.7393 180.5 36 0.0111 0.7393 182.0 37 0.0584 0.5815 956.2 38 0.0588 0.5815 963.9 39 0.0190 0.2119 311.6 40 0.0192 0.2119 314.1 41 0.0132 0.7393 216.0 42 0.0133 0.7393 217.7 43 0.0231 0.7280 377.7 44 0.0232 0.7280 380.8 45 0.0353 0.3750 577.7 46 0.0355 0.3750 582.3 47 0.1588 0.9673 2601.7 48 0.1528 0.9673 2502.9 49 1.4242 2.5293 23334.8 50 1.4347 2.5293 23506.7 51 0.2605 0.8931 4268.3 52 0.2559 0.7490 4192.3 53 0.7894 0.9546 12933.4 54 0.7907 0.9546 12955.0 55 0.0333 0.0927 545.7 56 0.0013 1.9990 21.3 57 -0.0044 0.6069 -72.1 Ymin = 0.00 Ymean = 0.03 Ymax = 1.00 Build a model.. Model params: L 128 num_blocks 128 width 64 expected_n_channels 57 Compile model.. Model: "model" __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) [(None, 128, 128, 57 0 __________________________________________________________________________________________________ batch_normalization (BatchNorma (None, 128, 128, 57) 228 input_1[0][0] __________________________________________________________________________________________________ activation (Activation) (None, 128, 128, 57) 0 batch_normalization[0][0] __________________________________________________________________________________________________ conv2d (Conv2D) (None, 128, 128, 64) 3712 activation[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 128, 128, 64) 256 conv2d[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 128, 128, 64) 0 batch_normalization_1[0][0] __________________________________________________________________________________________________ conv2d_1 (Conv2D) (None, 128, 128, 64) 36928 activation_1[0][0] __________________________________________________________________________________________________ dropout (Dropout) (None, 128, 128, 64) 0 conv2d_1[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 128, 128, 64) 0 dropout[0][0] __________________________________________________________________________________________________ conv2d_2 (Conv2D) (None, 128, 128, 64) 36928 activation_2[0][0] __________________________________________________________________________________________________ add (Add) (None, 128, 128, 64) 0 conv2d_2[0][0] conv2d[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 128, 128, 64) 256 add[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 128, 128, 64) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ conv2d_3 (Conv2D) (None, 128, 128, 64) 36928 activation_3[0][0] __________________________________________________________________________________________________ dropout_1 (Dropout) (None, 128, 128, 64) 0 conv2d_3[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 128, 128, 64) 0 dropout_1[0][0] __________________________________________________________________________________________________ conv2d_4 (Conv2D) (None, 128, 128, 64) 36928 activation_4[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 128, 128, 64) 0 conv2d_4[0][0] add[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 128, 128, 64) 256 add_1[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 128, 128, 64) 0 batch_normalization_3[0][0] __________________________________________________________________________________________________ conv2d_5 (Conv2D) (None, 128, 128, 64) 36928 activation_5[0][0] __________________________________________________________________________________________________ dropout_2 (Dropout) (None, 128, 128, 64) 0 conv2d_5[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 128, 128, 64) 0 dropout_2[0][0] __________________________________________________________________________________________________ conv2d_6 (Conv2D) (None, 128, 128, 64) 36928 activation_6[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 128, 128, 64) 0 conv2d_6[0][0] add_1[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 128, 128, 64) 256 add_2[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 128, 128, 64) 0 batch_normalization_4[0][0] __________________________________________________________________________________________________ conv2d_7 (Conv2D) (None, 128, 128, 64) 36928 activation_7[0][0] __________________________________________________________________________________________________ dropout_3 (Dropout) (None, 128, 128, 64) 0 conv2d_7[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 128, 128, 64) 0 dropout_3[0][0] __________________________________________________________________________________________________ conv2d_8 (Conv2D) (None, 128, 128, 64) 36928 activation_8[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 128, 128, 64) 0 conv2d_8[0][0] add_2[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 128, 128, 64) 256 add_3[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 128, 128, 64) 0 batch_normalization_5[0][0] __________________________________________________________________________________________________ conv2d_9 (Conv2D) (None, 128, 128, 64) 36928 activation_9[0][0] __________________________________________________________________________________________________ dropout_4 (Dropout) (None, 128, 128, 64) 0 conv2d_9[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 128, 128, 64) 0 dropout_4[0][0] __________________________________________________________________________________________________ conv2d_10 (Conv2D) (None, 128, 128, 64) 36928 activation_10[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 128, 128, 64) 0 conv2d_10[0][0] add_3[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 128, 128, 64) 256 add_4[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 128, 128, 64) 0 batch_normalization_6[0][0] __________________________________________________________________________________________________ conv2d_11 (Conv2D) (None, 128, 128, 64) 36928 activation_11[0][0] __________________________________________________________________________________________________ dropout_5 (Dropout) (None, 128, 128, 64) 0 conv2d_11[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 128, 128, 64) 0 dropout_5[0][0] __________________________________________________________________________________________________ conv2d_12 (Conv2D) (None, 128, 128, 64) 36928 activation_12[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 128, 128, 64) 0 conv2d_12[0][0] add_4[0][0] __________________________________________________________________________________________________ batch_normalization_7 (BatchNor (None, 128, 128, 64) 256 add_5[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 128, 128, 64) 0 batch_normalization_7[0][0] __________________________________________________________________________________________________ conv2d_13 (Conv2D) (None, 128, 128, 64) 36928 activation_13[0][0] __________________________________________________________________________________________________ dropout_6 (Dropout) (None, 128, 128, 64) 0 conv2d_13[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 128, 128, 64) 0 dropout_6[0][0] __________________________________________________________________________________________________ conv2d_14 (Conv2D) (None, 128, 128, 64) 36928 activation_14[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 128, 128, 64) 0 conv2d_14[0][0] add_5[0][0] __________________________________________________________________________________________________ batch_normalization_8 (BatchNor (None, 128, 128, 64) 256 add_6[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 128, 128, 64) 0 batch_normalization_8[0][0] __________________________________________________________________________________________________ conv2d_15 (Conv2D) (None, 128, 128, 64) 36928 activation_15[0][0] __________________________________________________________________________________________________ dropout_7 (Dropout) (None, 128, 128, 64) 0 conv2d_15[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 128, 128, 64) 0 dropout_7[0][0] __________________________________________________________________________________________________ conv2d_16 (Conv2D) (None, 128, 128, 64) 36928 activation_16[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 128, 128, 64) 0 conv2d_16[0][0] add_6[0][0] __________________________________________________________________________________________________ batch_normalization_9 (BatchNor (None, 128, 128, 64) 256 add_7[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 128, 128, 64) 0 batch_normalization_9[0][0] __________________________________________________________________________________________________ conv2d_17 (Conv2D) (None, 128, 128, 64) 36928 activation_17[0][0] __________________________________________________________________________________________________ dropout_8 (Dropout) (None, 128, 128, 64) 0 conv2d_17[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 128, 128, 64) 0 dropout_8[0][0] __________________________________________________________________________________________________ conv2d_18 (Conv2D) (None, 128, 128, 64) 36928 activation_18[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 128, 128, 64) 0 conv2d_18[0][0] add_7[0][0] __________________________________________________________________________________________________ batch_normalization_10 (BatchNo (None, 128, 128, 64) 256 add_8[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 128, 128, 64) 0 batch_normalization_10[0][0] __________________________________________________________________________________________________ conv2d_19 (Conv2D) (None, 128, 128, 64) 36928 activation_19[0][0] __________________________________________________________________________________________________ dropout_9 (Dropout) (None, 128, 128, 64) 0 conv2d_19[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 128, 128, 64) 0 dropout_9[0][0] __________________________________________________________________________________________________ conv2d_20 (Conv2D) (None, 128, 128, 64) 36928 activation_20[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 128, 128, 64) 0 conv2d_20[0][0] add_8[0][0] __________________________________________________________________________________________________ batch_normalization_11 (BatchNo (None, 128, 128, 64) 256 add_9[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 128, 128, 64) 0 batch_normalization_11[0][0] __________________________________________________________________________________________________ conv2d_21 (Conv2D) (None, 128, 128, 64) 36928 activation_21[0][0] __________________________________________________________________________________________________ dropout_10 (Dropout) (None, 128, 128, 64) 0 conv2d_21[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 128, 128, 64) 0 dropout_10[0][0] __________________________________________________________________________________________________ conv2d_22 (Conv2D) (None, 128, 128, 64) 36928 activation_22[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 128, 128, 64) 0 conv2d_22[0][0] add_9[0][0] __________________________________________________________________________________________________ batch_normalization_12 (BatchNo (None, 128, 128, 64) 256 add_10[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 128, 128, 64) 0 batch_normalization_12[0][0] __________________________________________________________________________________________________ conv2d_23 (Conv2D) (None, 128, 128, 64) 36928 activation_23[0][0] __________________________________________________________________________________________________ dropout_11 (Dropout) (None, 128, 128, 64) 0 conv2d_23[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 128, 128, 64) 0 dropout_11[0][0] __________________________________________________________________________________________________ conv2d_24 (Conv2D) (None, 128, 128, 64) 36928 activation_24[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 128, 128, 64) 0 conv2d_24[0][0] add_10[0][0] __________________________________________________________________________________________________ batch_normalization_13 (BatchNo (None, 128, 128, 64) 256 add_11[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 128, 128, 64) 0 batch_normalization_13[0][0] __________________________________________________________________________________________________ conv2d_25 (Conv2D) (None, 128, 128, 64) 36928 activation_25[0][0] __________________________________________________________________________________________________ dropout_12 (Dropout) (None, 128, 128, 64) 0 conv2d_25[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 128, 128, 64) 0 dropout_12[0][0] __________________________________________________________________________________________________ conv2d_26 (Conv2D) (None, 128, 128, 64) 36928 activation_26[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 128, 128, 64) 0 conv2d_26[0][0] add_11[0][0] __________________________________________________________________________________________________ batch_normalization_14 (BatchNo (None, 128, 128, 64) 256 add_12[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 128, 128, 64) 0 batch_normalization_14[0][0] __________________________________________________________________________________________________ conv2d_27 (Conv2D) (None, 128, 128, 64) 36928 activation_27[0][0] __________________________________________________________________________________________________ dropout_13 (Dropout) (None, 128, 128, 64) 0 conv2d_27[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 128, 128, 64) 0 dropout_13[0][0] __________________________________________________________________________________________________ conv2d_28 (Conv2D) (None, 128, 128, 64) 36928 activation_28[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 128, 128, 64) 0 conv2d_28[0][0] add_12[0][0] __________________________________________________________________________________________________ batch_normalization_15 (BatchNo (None, 128, 128, 64) 256 add_13[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 128, 128, 64) 0 batch_normalization_15[0][0] __________________________________________________________________________________________________ conv2d_29 (Conv2D) (None, 128, 128, 64) 36928 activation_29[0][0] __________________________________________________________________________________________________ dropout_14 (Dropout) (None, 128, 128, 64) 0 conv2d_29[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 128, 128, 64) 0 dropout_14[0][0] __________________________________________________________________________________________________ conv2d_30 (Conv2D) (None, 128, 128, 64) 36928 activation_30[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 128, 128, 64) 0 conv2d_30[0][0] add_13[0][0] __________________________________________________________________________________________________ batch_normalization_16 (BatchNo (None, 128, 128, 64) 256 add_14[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 128, 128, 64) 0 batch_normalization_16[0][0] __________________________________________________________________________________________________ conv2d_31 (Conv2D) (None, 128, 128, 64) 36928 activation_31[0][0] __________________________________________________________________________________________________ dropout_15 (Dropout) (None, 128, 128, 64) 0 conv2d_31[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 128, 128, 64) 0 dropout_15[0][0] __________________________________________________________________________________________________ conv2d_32 (Conv2D) (None, 128, 128, 64) 36928 activation_32[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 128, 128, 64) 0 conv2d_32[0][0] add_14[0][0] __________________________________________________________________________________________________ batch_normalization_17 (BatchNo (None, 128, 128, 64) 256 add_15[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 128, 128, 64) 0 batch_normalization_17[0][0] __________________________________________________________________________________________________ conv2d_33 (Conv2D) (None, 128, 128, 64) 36928 activation_33[0][0] __________________________________________________________________________________________________ dropout_16 (Dropout) (None, 128, 128, 64) 0 conv2d_33[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 128, 128, 64) 0 dropout_16[0][0] __________________________________________________________________________________________________ conv2d_34 (Conv2D) (None, 128, 128, 64) 36928 activation_34[0][0] __________________________________________________________________________________________________ add_16 (Add) (None, 128, 128, 64) 0 conv2d_34[0][0] add_15[0][0] __________________________________________________________________________________________________ batch_normalization_18 (BatchNo (None, 128, 128, 64) 256 add_16[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 128, 128, 64) 0 batch_normalization_18[0][0] __________________________________________________________________________________________________ conv2d_35 (Conv2D) (None, 128, 128, 64) 36928 activation_35[0][0] __________________________________________________________________________________________________ dropout_17 (Dropout) (None, 128, 128, 64) 0 conv2d_35[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 128, 128, 64) 0 dropout_17[0][0] __________________________________________________________________________________________________ conv2d_36 (Conv2D) (None, 128, 128, 64) 36928 activation_36[0][0] __________________________________________________________________________________________________ add_17 (Add) (None, 128, 128, 64) 0 conv2d_36[0][0] add_16[0][0] __________________________________________________________________________________________________ batch_normalization_19 (BatchNo (None, 128, 128, 64) 256 add_17[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 128, 128, 64) 0 batch_normalization_19[0][0] __________________________________________________________________________________________________ conv2d_37 (Conv2D) (None, 128, 128, 64) 36928 activation_37[0][0] __________________________________________________________________________________________________ dropout_18 (Dropout) (None, 128, 128, 64) 0 conv2d_37[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 128, 128, 64) 0 dropout_18[0][0] __________________________________________________________________________________________________ conv2d_38 (Conv2D) (None, 128, 128, 64) 36928 activation_38[0][0] __________________________________________________________________________________________________ add_18 (Add) (None, 128, 128, 64) 0 conv2d_38[0][0] add_17[0][0] __________________________________________________________________________________________________ batch_normalization_20 (BatchNo (None, 128, 128, 64) 256 add_18[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 128, 128, 64) 0 batch_normalization_20[0][0] __________________________________________________________________________________________________ conv2d_39 (Conv2D) (None, 128, 128, 64) 36928 activation_39[0][0] __________________________________________________________________________________________________ dropout_19 (Dropout) (None, 128, 128, 64) 0 conv2d_39[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 128, 128, 64) 0 dropout_19[0][0] __________________________________________________________________________________________________ conv2d_40 (Conv2D) (None, 128, 128, 64) 36928 activation_40[0][0] __________________________________________________________________________________________________ add_19 (Add) (None, 128, 128, 64) 0 conv2d_40[0][0] add_18[0][0] __________________________________________________________________________________________________ batch_normalization_21 (BatchNo (None, 128, 128, 64) 256 add_19[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 128, 128, 64) 0 batch_normalization_21[0][0] __________________________________________________________________________________________________ conv2d_41 (Conv2D) (None, 128, 128, 64) 36928 activation_41[0][0] __________________________________________________________________________________________________ dropout_20 (Dropout) (None, 128, 128, 64) 0 conv2d_41[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 128, 128, 64) 0 dropout_20[0][0] __________________________________________________________________________________________________ conv2d_42 (Conv2D) (None, 128, 128, 64) 36928 activation_42[0][0] __________________________________________________________________________________________________ add_20 (Add) (None, 128, 128, 64) 0 conv2d_42[0][0] add_19[0][0] __________________________________________________________________________________________________ batch_normalization_22 (BatchNo (None, 128, 128, 64) 256 add_20[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 128, 128, 64) 0 batch_normalization_22[0][0] __________________________________________________________________________________________________ conv2d_43 (Conv2D) (None, 128, 128, 64) 36928 activation_43[0][0] __________________________________________________________________________________________________ dropout_21 (Dropout) (None, 128, 128, 64) 0 conv2d_43[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 128, 128, 64) 0 dropout_21[0][0] __________________________________________________________________________________________________ conv2d_44 (Conv2D) (None, 128, 128, 64) 36928 activation_44[0][0] __________________________________________________________________________________________________ add_21 (Add) (None, 128, 128, 64) 0 conv2d_44[0][0] add_20[0][0] __________________________________________________________________________________________________ batch_normalization_23 (BatchNo (None, 128, 128, 64) 256 add_21[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 128, 128, 64) 0 batch_normalization_23[0][0] __________________________________________________________________________________________________ conv2d_45 (Conv2D) (None, 128, 128, 64) 36928 activation_45[0][0] __________________________________________________________________________________________________ dropout_22 (Dropout) (None, 128, 128, 64) 0 conv2d_45[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 128, 128, 64) 0 dropout_22[0][0] __________________________________________________________________________________________________ conv2d_46 (Conv2D) (None, 128, 128, 64) 36928 activation_46[0][0] __________________________________________________________________________________________________ add_22 (Add) (None, 128, 128, 64) 0 conv2d_46[0][0] add_21[0][0] __________________________________________________________________________________________________ batch_normalization_24 (BatchNo (None, 128, 128, 64) 256 add_22[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 128, 128, 64) 0 batch_normalization_24[0][0] __________________________________________________________________________________________________ conv2d_47 (Conv2D) (None, 128, 128, 64) 36928 activation_47[0][0] __________________________________________________________________________________________________ dropout_23 (Dropout) (None, 128, 128, 64) 0 conv2d_47[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 128, 128, 64) 0 dropout_23[0][0] __________________________________________________________________________________________________ conv2d_48 (Conv2D) (None, 128, 128, 64) 36928 activation_48[0][0] __________________________________________________________________________________________________ add_23 (Add) (None, 128, 128, 64) 0 conv2d_48[0][0] add_22[0][0] __________________________________________________________________________________________________ batch_normalization_25 (BatchNo (None, 128, 128, 64) 256 add_23[0][0] __________________________________________________________________________________________________ activation_49 (Activation) (None, 128, 128, 64) 0 batch_normalization_25[0][0] __________________________________________________________________________________________________ conv2d_49 (Conv2D) (None, 128, 128, 64) 36928 activation_49[0][0] __________________________________________________________________________________________________ dropout_24 (Dropout) (None, 128, 128, 64) 0 conv2d_49[0][0] __________________________________________________________________________________________________ activation_50 (Activation) (None, 128, 128, 64) 0 dropout_24[0][0] __________________________________________________________________________________________________ conv2d_50 (Conv2D) (None, 128, 128, 64) 36928 activation_50[0][0] __________________________________________________________________________________________________ add_24 (Add) (None, 128, 128, 64) 0 conv2d_50[0][0] add_23[0][0] __________________________________________________________________________________________________ batch_normalization_26 (BatchNo (None, 128, 128, 64) 256 add_24[0][0] __________________________________________________________________________________________________ activation_51 (Activation) (None, 128, 128, 64) 0 batch_normalization_26[0][0] __________________________________________________________________________________________________ conv2d_51 (Conv2D) (None, 128, 128, 64) 36928 activation_51[0][0] __________________________________________________________________________________________________ dropout_25 (Dropout) (None, 128, 128, 64) 0 conv2d_51[0][0] __________________________________________________________________________________________________ activation_52 (Activation) (None, 128, 128, 64) 0 dropout_25[0][0] __________________________________________________________________________________________________ conv2d_52 (Conv2D) (None, 128, 128, 64) 36928 activation_52[0][0] __________________________________________________________________________________________________ add_25 (Add) (None, 128, 128, 64) 0 conv2d_52[0][0] add_24[0][0] __________________________________________________________________________________________________ batch_normalization_27 (BatchNo (None, 128, 128, 64) 256 add_25[0][0] __________________________________________________________________________________________________ activation_53 (Activation) (None, 128, 128, 64) 0 batch_normalization_27[0][0] __________________________________________________________________________________________________ conv2d_53 (Conv2D) (None, 128, 128, 64) 36928 activation_53[0][0] __________________________________________________________________________________________________ dropout_26 (Dropout) (None, 128, 128, 64) 0 conv2d_53[0][0] __________________________________________________________________________________________________ activation_54 (Activation) (None, 128, 128, 64) 0 dropout_26[0][0] __________________________________________________________________________________________________ conv2d_54 (Conv2D) (None, 128, 128, 64) 36928 activation_54[0][0] __________________________________________________________________________________________________ add_26 (Add) (None, 128, 128, 64) 0 conv2d_54[0][0] add_25[0][0] __________________________________________________________________________________________________ batch_normalization_28 (BatchNo (None, 128, 128, 64) 256 add_26[0][0] __________________________________________________________________________________________________ activation_55 (Activation) (None, 128, 128, 64) 0 batch_normalization_28[0][0] __________________________________________________________________________________________________ conv2d_55 (Conv2D) (None, 128, 128, 64) 36928 activation_55[0][0] __________________________________________________________________________________________________ dropout_27 (Dropout) (None, 128, 128, 64) 0 conv2d_55[0][0] __________________________________________________________________________________________________ activation_56 (Activation) (None, 128, 128, 64) 0 dropout_27[0][0] __________________________________________________________________________________________________ conv2d_56 (Conv2D) (None, 128, 128, 64) 36928 activation_56[0][0] __________________________________________________________________________________________________ add_27 (Add) (None, 128, 128, 64) 0 conv2d_56[0][0] add_26[0][0] __________________________________________________________________________________________________ batch_normalization_29 (BatchNo (None, 128, 128, 64) 256 add_27[0][0] __________________________________________________________________________________________________ activation_57 (Activation) (None, 128, 128, 64) 0 batch_normalization_29[0][0] __________________________________________________________________________________________________ conv2d_57 (Conv2D) (None, 128, 128, 64) 36928 activation_57[0][0] __________________________________________________________________________________________________ dropout_28 (Dropout) (None, 128, 128, 64) 0 conv2d_57[0][0] __________________________________________________________________________________________________ activation_58 (Activation) (None, 128, 128, 64) 0 dropout_28[0][0] __________________________________________________________________________________________________ conv2d_58 (Conv2D) (None, 128, 128, 64) 36928 activation_58[0][0] __________________________________________________________________________________________________ add_28 (Add) (None, 128, 128, 64) 0 conv2d_58[0][0] add_27[0][0] __________________________________________________________________________________________________ batch_normalization_30 (BatchNo (None, 128, 128, 64) 256 add_28[0][0] __________________________________________________________________________________________________ activation_59 (Activation) (None, 128, 128, 64) 0 batch_normalization_30[0][0] __________________________________________________________________________________________________ conv2d_59 (Conv2D) (None, 128, 128, 64) 36928 activation_59[0][0] __________________________________________________________________________________________________ dropout_29 (Dropout) (None, 128, 128, 64) 0 conv2d_59[0][0] __________________________________________________________________________________________________ activation_60 (Activation) (None, 128, 128, 64) 0 dropout_29[0][0] __________________________________________________________________________________________________ conv2d_60 (Conv2D) (None, 128, 128, 64) 36928 activation_60[0][0] __________________________________________________________________________________________________ add_29 (Add) (None, 128, 128, 64) 0 conv2d_60[0][0] add_28[0][0] __________________________________________________________________________________________________ batch_normalization_31 (BatchNo (None, 128, 128, 64) 256 add_29[0][0] __________________________________________________________________________________________________ activation_61 (Activation) (None, 128, 128, 64) 0 batch_normalization_31[0][0] __________________________________________________________________________________________________ conv2d_61 (Conv2D) (None, 128, 128, 64) 36928 activation_61[0][0] __________________________________________________________________________________________________ dropout_30 (Dropout) (None, 128, 128, 64) 0 conv2d_61[0][0] __________________________________________________________________________________________________ activation_62 (Activation) (None, 128, 128, 64) 0 dropout_30[0][0] __________________________________________________________________________________________________ conv2d_62 (Conv2D) (None, 128, 128, 64) 36928 activation_62[0][0] __________________________________________________________________________________________________ add_30 (Add) (None, 128, 128, 64) 0 conv2d_62[0][0] add_29[0][0] __________________________________________________________________________________________________ batch_normalization_32 (BatchNo (None, 128, 128, 64) 256 add_30[0][0] __________________________________________________________________________________________________ activation_63 (Activation) (None, 128, 128, 64) 0 batch_normalization_32[0][0] __________________________________________________________________________________________________ conv2d_63 (Conv2D) (None, 128, 128, 64) 36928 activation_63[0][0] __________________________________________________________________________________________________ dropout_31 (Dropout) (None, 128, 128, 64) 0 conv2d_63[0][0] __________________________________________________________________________________________________ activation_64 (Activation) (None, 128, 128, 64) 0 dropout_31[0][0] __________________________________________________________________________________________________ conv2d_64 (Conv2D) (None, 128, 128, 64) 36928 activation_64[0][0] __________________________________________________________________________________________________ add_31 (Add) (None, 128, 128, 64) 0 conv2d_64[0][0] add_30[0][0] __________________________________________________________________________________________________ batch_normalization_33 (BatchNo (None, 128, 128, 64) 256 add_31[0][0] __________________________________________________________________________________________________ activation_65 (Activation) (None, 128, 128, 64) 0 batch_normalization_33[0][0] __________________________________________________________________________________________________ conv2d_65 (Conv2D) (None, 128, 128, 64) 36928 activation_65[0][0] __________________________________________________________________________________________________ dropout_32 (Dropout) (None, 128, 128, 64) 0 conv2d_65[0][0] __________________________________________________________________________________________________ activation_66 (Activation) (None, 128, 128, 64) 0 dropout_32[0][0] __________________________________________________________________________________________________ conv2d_66 (Conv2D) (None, 128, 128, 64) 36928 activation_66[0][0] __________________________________________________________________________________________________ add_32 (Add) (None, 128, 128, 64) 0 conv2d_66[0][0] add_31[0][0] __________________________________________________________________________________________________ batch_normalization_34 (BatchNo (None, 128, 128, 64) 256 add_32[0][0] __________________________________________________________________________________________________ activation_67 (Activation) (None, 128, 128, 64) 0 batch_normalization_34[0][0] __________________________________________________________________________________________________ conv2d_67 (Conv2D) (None, 128, 128, 64) 36928 activation_67[0][0] __________________________________________________________________________________________________ dropout_33 (Dropout) (None, 128, 128, 64) 0 conv2d_67[0][0] __________________________________________________________________________________________________ activation_68 (Activation) (None, 128, 128, 64) 0 dropout_33[0][0] __________________________________________________________________________________________________ conv2d_68 (Conv2D) (None, 128, 128, 64) 36928 activation_68[0][0] __________________________________________________________________________________________________ add_33 (Add) (None, 128, 128, 64) 0 conv2d_68[0][0] add_32[0][0] __________________________________________________________________________________________________ batch_normalization_35 (BatchNo (None, 128, 128, 64) 256 add_33[0][0] __________________________________________________________________________________________________ activation_69 (Activation) (None, 128, 128, 64) 0 batch_normalization_35[0][0] __________________________________________________________________________________________________ conv2d_69 (Conv2D) (None, 128, 128, 64) 36928 activation_69[0][0] __________________________________________________________________________________________________ dropout_34 (Dropout) (None, 128, 128, 64) 0 conv2d_69[0][0] __________________________________________________________________________________________________ activation_70 (Activation) (None, 128, 128, 64) 0 dropout_34[0][0] __________________________________________________________________________________________________ conv2d_70 (Conv2D) (None, 128, 128, 64) 36928 activation_70[0][0] __________________________________________________________________________________________________ add_34 (Add) (None, 128, 128, 64) 0 conv2d_70[0][0] add_33[0][0] __________________________________________________________________________________________________ batch_normalization_36 (BatchNo (None, 128, 128, 64) 256 add_34[0][0] __________________________________________________________________________________________________ activation_71 (Activation) (None, 128, 128, 64) 0 batch_normalization_36[0][0] __________________________________________________________________________________________________ conv2d_71 (Conv2D) (None, 128, 128, 64) 36928 activation_71[0][0] __________________________________________________________________________________________________ dropout_35 (Dropout) (None, 128, 128, 64) 0 conv2d_71[0][0] __________________________________________________________________________________________________ activation_72 (Activation) (None, 128, 128, 64) 0 dropout_35[0][0] __________________________________________________________________________________________________ conv2d_72 (Conv2D) (None, 128, 128, 64) 36928 activation_72[0][0] __________________________________________________________________________________________________ add_35 (Add) (None, 128, 128, 64) 0 conv2d_72[0][0] add_34[0][0] __________________________________________________________________________________________________ batch_normalization_37 (BatchNo (None, 128, 128, 64) 256 add_35[0][0] __________________________________________________________________________________________________ activation_73 (Activation) (None, 128, 128, 64) 0 batch_normalization_37[0][0] __________________________________________________________________________________________________ conv2d_73 (Conv2D) (None, 128, 128, 64) 36928 activation_73[0][0] __________________________________________________________________________________________________ dropout_36 (Dropout) (None, 128, 128, 64) 0 conv2d_73[0][0] __________________________________________________________________________________________________ activation_74 (Activation) (None, 128, 128, 64) 0 dropout_36[0][0] __________________________________________________________________________________________________ conv2d_74 (Conv2D) (None, 128, 128, 64) 36928 activation_74[0][0] __________________________________________________________________________________________________ add_36 (Add) (None, 128, 128, 64) 0 conv2d_74[0][0] add_35[0][0] __________________________________________________________________________________________________ batch_normalization_38 (BatchNo (None, 128, 128, 64) 256 add_36[0][0] __________________________________________________________________________________________________ activation_75 (Activation) (None, 128, 128, 64) 0 batch_normalization_38[0][0] __________________________________________________________________________________________________ conv2d_75 (Conv2D) (None, 128, 128, 64) 36928 activation_75[0][0] __________________________________________________________________________________________________ dropout_37 (Dropout) (None, 128, 128, 64) 0 conv2d_75[0][0] __________________________________________________________________________________________________ activation_76 (Activation) (None, 128, 128, 64) 0 dropout_37[0][0] __________________________________________________________________________________________________ conv2d_76 (Conv2D) (None, 128, 128, 64) 36928 activation_76[0][0] __________________________________________________________________________________________________ add_37 (Add) (None, 128, 128, 64) 0 conv2d_76[0][0] add_36[0][0] __________________________________________________________________________________________________ batch_normalization_39 (BatchNo (None, 128, 128, 64) 256 add_37[0][0] __________________________________________________________________________________________________ activation_77 (Activation) (None, 128, 128, 64) 0 batch_normalization_39[0][0] __________________________________________________________________________________________________ conv2d_77 (Conv2D) (None, 128, 128, 64) 36928 activation_77[0][0] __________________________________________________________________________________________________ dropout_38 (Dropout) (None, 128, 128, 64) 0 conv2d_77[0][0] __________________________________________________________________________________________________ activation_78 (Activation) (None, 128, 128, 64) 0 dropout_38[0][0] __________________________________________________________________________________________________ conv2d_78 (Conv2D) (None, 128, 128, 64) 36928 activation_78[0][0] __________________________________________________________________________________________________ add_38 (Add) (None, 128, 128, 64) 0 conv2d_78[0][0] add_37[0][0] __________________________________________________________________________________________________ batch_normalization_40 (BatchNo (None, 128, 128, 64) 256 add_38[0][0] __________________________________________________________________________________________________ activation_79 (Activation) (None, 128, 128, 64) 0 batch_normalization_40[0][0] __________________________________________________________________________________________________ conv2d_79 (Conv2D) (None, 128, 128, 64) 36928 activation_79[0][0] __________________________________________________________________________________________________ dropout_39 (Dropout) (None, 128, 128, 64) 0 conv2d_79[0][0] __________________________________________________________________________________________________ activation_80 (Activation) (None, 128, 128, 64) 0 dropout_39[0][0] __________________________________________________________________________________________________ conv2d_80 (Conv2D) (None, 128, 128, 64) 36928 activation_80[0][0] __________________________________________________________________________________________________ add_39 (Add) (None, 128, 128, 64) 0 conv2d_80[0][0] add_38[0][0] __________________________________________________________________________________________________ batch_normalization_41 (BatchNo (None, 128, 128, 64) 256 add_39[0][0] __________________________________________________________________________________________________ activation_81 (Activation) (None, 128, 128, 64) 0 batch_normalization_41[0][0] __________________________________________________________________________________________________ conv2d_81 (Conv2D) (None, 128, 128, 64) 36928 activation_81[0][0] __________________________________________________________________________________________________ dropout_40 (Dropout) (None, 128, 128, 64) 0 conv2d_81[0][0] __________________________________________________________________________________________________ activation_82 (Activation) (None, 128, 128, 64) 0 dropout_40[0][0] __________________________________________________________________________________________________ conv2d_82 (Conv2D) (None, 128, 128, 64) 36928 activation_82[0][0] __________________________________________________________________________________________________ add_40 (Add) (None, 128, 128, 64) 0 conv2d_82[0][0] add_39[0][0] __________________________________________________________________________________________________ batch_normalization_42 (BatchNo (None, 128, 128, 64) 256 add_40[0][0] __________________________________________________________________________________________________ activation_83 (Activation) (None, 128, 128, 64) 0 batch_normalization_42[0][0] __________________________________________________________________________________________________ conv2d_83 (Conv2D) (None, 128, 128, 64) 36928 activation_83[0][0] __________________________________________________________________________________________________ dropout_41 (Dropout) (None, 128, 128, 64) 0 conv2d_83[0][0] __________________________________________________________________________________________________ activation_84 (Activation) (None, 128, 128, 64) 0 dropout_41[0][0] __________________________________________________________________________________________________ conv2d_84 (Conv2D) (None, 128, 128, 64) 36928 activation_84[0][0] __________________________________________________________________________________________________ add_41 (Add) (None, 128, 128, 64) 0 conv2d_84[0][0] add_40[0][0] __________________________________________________________________________________________________ batch_normalization_43 (BatchNo (None, 128, 128, 64) 256 add_41[0][0] __________________________________________________________________________________________________ activation_85 (Activation) (None, 128, 128, 64) 0 batch_normalization_43[0][0] __________________________________________________________________________________________________ conv2d_85 (Conv2D) (None, 128, 128, 64) 36928 activation_85[0][0] __________________________________________________________________________________________________ dropout_42 (Dropout) (None, 128, 128, 64) 0 conv2d_85[0][0] __________________________________________________________________________________________________ activation_86 (Activation) (None, 128, 128, 64) 0 dropout_42[0][0] __________________________________________________________________________________________________ conv2d_86 (Conv2D) (None, 128, 128, 64) 36928 activation_86[0][0] __________________________________________________________________________________________________ add_42 (Add) (None, 128, 128, 64) 0 conv2d_86[0][0] add_41[0][0] __________________________________________________________________________________________________ batch_normalization_44 (BatchNo (None, 128, 128, 64) 256 add_42[0][0] __________________________________________________________________________________________________ activation_87 (Activation) (None, 128, 128, 64) 0 batch_normalization_44[0][0] __________________________________________________________________________________________________ conv2d_87 (Conv2D) (None, 128, 128, 64) 36928 activation_87[0][0] __________________________________________________________________________________________________ dropout_43 (Dropout) (None, 128, 128, 64) 0 conv2d_87[0][0] __________________________________________________________________________________________________ activation_88 (Activation) (None, 128, 128, 64) 0 dropout_43[0][0] __________________________________________________________________________________________________ conv2d_88 (Conv2D) (None, 128, 128, 64) 36928 activation_88[0][0] __________________________________________________________________________________________________ add_43 (Add) (None, 128, 128, 64) 0 conv2d_88[0][0] add_42[0][0] __________________________________________________________________________________________________ batch_normalization_45 (BatchNo (None, 128, 128, 64) 256 add_43[0][0] __________________________________________________________________________________________________ activation_89 (Activation) (None, 128, 128, 64) 0 batch_normalization_45[0][0] __________________________________________________________________________________________________ conv2d_89 (Conv2D) (None, 128, 128, 64) 36928 activation_89[0][0] __________________________________________________________________________________________________ dropout_44 (Dropout) (None, 128, 128, 64) 0 conv2d_89[0][0] __________________________________________________________________________________________________ activation_90 (Activation) (None, 128, 128, 64) 0 dropout_44[0][0] __________________________________________________________________________________________________ conv2d_90 (Conv2D) (None, 128, 128, 64) 36928 activation_90[0][0] __________________________________________________________________________________________________ add_44 (Add) (None, 128, 128, 64) 0 conv2d_90[0][0] add_43[0][0] __________________________________________________________________________________________________ batch_normalization_46 (BatchNo (None, 128, 128, 64) 256 add_44[0][0] __________________________________________________________________________________________________ activation_91 (Activation) (None, 128, 128, 64) 0 batch_normalization_46[0][0] __________________________________________________________________________________________________ conv2d_91 (Conv2D) (None, 128, 128, 64) 36928 activation_91[0][0] __________________________________________________________________________________________________ dropout_45 (Dropout) (None, 128, 128, 64) 0 conv2d_91[0][0] __________________________________________________________________________________________________ activation_92 (Activation) (None, 128, 128, 64) 0 dropout_45[0][0] __________________________________________________________________________________________________ conv2d_92 (Conv2D) (None, 128, 128, 64) 36928 activation_92[0][0] __________________________________________________________________________________________________ add_45 (Add) (None, 128, 128, 64) 0 conv2d_92[0][0] add_44[0][0] __________________________________________________________________________________________________ batch_normalization_47 (BatchNo (None, 128, 128, 64) 256 add_45[0][0] __________________________________________________________________________________________________ activation_93 (Activation) (None, 128, 128, 64) 0 batch_normalization_47[0][0] __________________________________________________________________________________________________ conv2d_93 (Conv2D) (None, 128, 128, 64) 36928 activation_93[0][0] __________________________________________________________________________________________________ dropout_46 (Dropout) (None, 128, 128, 64) 0 conv2d_93[0][0] __________________________________________________________________________________________________ activation_94 (Activation) (None, 128, 128, 64) 0 dropout_46[0][0] __________________________________________________________________________________________________ conv2d_94 (Conv2D) (None, 128, 128, 64) 36928 activation_94[0][0] __________________________________________________________________________________________________ add_46 (Add) (None, 128, 128, 64) 0 conv2d_94[0][0] add_45[0][0] __________________________________________________________________________________________________ batch_normalization_48 (BatchNo (None, 128, 128, 64) 256 add_46[0][0] __________________________________________________________________________________________________ activation_95 (Activation) (None, 128, 128, 64) 0 batch_normalization_48[0][0] __________________________________________________________________________________________________ conv2d_95 (Conv2D) (None, 128, 128, 64) 36928 activation_95[0][0] __________________________________________________________________________________________________ dropout_47 (Dropout) (None, 128, 128, 64) 0 conv2d_95[0][0] __________________________________________________________________________________________________ activation_96 (Activation) (None, 128, 128, 64) 0 dropout_47[0][0] __________________________________________________________________________________________________ conv2d_96 (Conv2D) (None, 128, 128, 64) 36928 activation_96[0][0] __________________________________________________________________________________________________ add_47 (Add) (None, 128, 128, 64) 0 conv2d_96[0][0] add_46[0][0] __________________________________________________________________________________________________ batch_normalization_49 (BatchNo (None, 128, 128, 64) 256 add_47[0][0] __________________________________________________________________________________________________ activation_97 (Activation) (None, 128, 128, 64) 0 batch_normalization_49[0][0] __________________________________________________________________________________________________ conv2d_97 (Conv2D) (None, 128, 128, 64) 36928 activation_97[0][0] __________________________________________________________________________________________________ dropout_48 (Dropout) (None, 128, 128, 64) 0 conv2d_97[0][0] __________________________________________________________________________________________________ activation_98 (Activation) (None, 128, 128, 64) 0 dropout_48[0][0] __________________________________________________________________________________________________ conv2d_98 (Conv2D) (None, 128, 128, 64) 36928 activation_98[0][0] __________________________________________________________________________________________________ add_48 (Add) (None, 128, 128, 64) 0 conv2d_98[0][0] add_47[0][0] __________________________________________________________________________________________________ batch_normalization_50 (BatchNo (None, 128, 128, 64) 256 add_48[0][0] __________________________________________________________________________________________________ activation_99 (Activation) (None, 128, 128, 64) 0 batch_normalization_50[0][0] __________________________________________________________________________________________________ conv2d_99 (Conv2D) (None, 128, 128, 64) 36928 activation_99[0][0] __________________________________________________________________________________________________ dropout_49 (Dropout) (None, 128, 128, 64) 0 conv2d_99[0][0] __________________________________________________________________________________________________ activation_100 (Activation) (None, 128, 128, 64) 0 dropout_49[0][0] __________________________________________________________________________________________________ conv2d_100 (Conv2D) (None, 128, 128, 64) 36928 activation_100[0][0] __________________________________________________________________________________________________ add_49 (Add) (None, 128, 128, 64) 0 conv2d_100[0][0] add_48[0][0] __________________________________________________________________________________________________ batch_normalization_51 (BatchNo (None, 128, 128, 64) 256 add_49[0][0] __________________________________________________________________________________________________ activation_101 (Activation) (None, 128, 128, 64) 0 batch_normalization_51[0][0] __________________________________________________________________________________________________ conv2d_101 (Conv2D) (None, 128, 128, 64) 36928 activation_101[0][0] __________________________________________________________________________________________________ dropout_50 (Dropout) (None, 128, 128, 64) 0 conv2d_101[0][0] __________________________________________________________________________________________________ activation_102 (Activation) (None, 128, 128, 64) 0 dropout_50[0][0] __________________________________________________________________________________________________ conv2d_102 (Conv2D) (None, 128, 128, 64) 36928 activation_102[0][0] __________________________________________________________________________________________________ add_50 (Add) (None, 128, 128, 64) 0 conv2d_102[0][0] add_49[0][0] __________________________________________________________________________________________________ batch_normalization_52 (BatchNo (None, 128, 128, 64) 256 add_50[0][0] __________________________________________________________________________________________________ activation_103 (Activation) (None, 128, 128, 64) 0 batch_normalization_52[0][0] __________________________________________________________________________________________________ conv2d_103 (Conv2D) (None, 128, 128, 64) 36928 activation_103[0][0] __________________________________________________________________________________________________ dropout_51 (Dropout) (None, 128, 128, 64) 0 conv2d_103[0][0] __________________________________________________________________________________________________ activation_104 (Activation) (None, 128, 128, 64) 0 dropout_51[0][0] __________________________________________________________________________________________________ conv2d_104 (Conv2D) (None, 128, 128, 64) 36928 activation_104[0][0] __________________________________________________________________________________________________ add_51 (Add) (None, 128, 128, 64) 0 conv2d_104[0][0] add_50[0][0] __________________________________________________________________________________________________ batch_normalization_53 (BatchNo (None, 128, 128, 64) 256 add_51[0][0] __________________________________________________________________________________________________ activation_105 (Activation) (None, 128, 128, 64) 0 batch_normalization_53[0][0] __________________________________________________________________________________________________ conv2d_105 (Conv2D) (None, 128, 128, 64) 36928 activation_105[0][0] __________________________________________________________________________________________________ dropout_52 (Dropout) (None, 128, 128, 64) 0 conv2d_105[0][0] __________________________________________________________________________________________________ activation_106 (Activation) (None, 128, 128, 64) 0 dropout_52[0][0] __________________________________________________________________________________________________ conv2d_106 (Conv2D) (None, 128, 128, 64) 36928 activation_106[0][0] __________________________________________________________________________________________________ add_52 (Add) (None, 128, 128, 64) 0 conv2d_106[0][0] add_51[0][0] __________________________________________________________________________________________________ batch_normalization_54 (BatchNo (None, 128, 128, 64) 256 add_52[0][0] __________________________________________________________________________________________________ activation_107 (Activation) (None, 128, 128, 64) 0 batch_normalization_54[0][0] __________________________________________________________________________________________________ conv2d_107 (Conv2D) (None, 128, 128, 64) 36928 activation_107[0][0] __________________________________________________________________________________________________ dropout_53 (Dropout) (None, 128, 128, 64) 0 conv2d_107[0][0] __________________________________________________________________________________________________ activation_108 (Activation) (None, 128, 128, 64) 0 dropout_53[0][0] __________________________________________________________________________________________________ conv2d_108 (Conv2D) (None, 128, 128, 64) 36928 activation_108[0][0] __________________________________________________________________________________________________ add_53 (Add) (None, 128, 128, 64) 0 conv2d_108[0][0] add_52[0][0] __________________________________________________________________________________________________ batch_normalization_55 (BatchNo (None, 128, 128, 64) 256 add_53[0][0] __________________________________________________________________________________________________ activation_109 (Activation) (None, 128, 128, 64) 0 batch_normalization_55[0][0] __________________________________________________________________________________________________ conv2d_109 (Conv2D) (None, 128, 128, 64) 36928 activation_109[0][0] __________________________________________________________________________________________________ dropout_54 (Dropout) (None, 128, 128, 64) 0 conv2d_109[0][0] __________________________________________________________________________________________________ activation_110 (Activation) (None, 128, 128, 64) 0 dropout_54[0][0] __________________________________________________________________________________________________ conv2d_110 (Conv2D) (None, 128, 128, 64) 36928 activation_110[0][0] __________________________________________________________________________________________________ add_54 (Add) (None, 128, 128, 64) 0 conv2d_110[0][0] add_53[0][0] __________________________________________________________________________________________________ batch_normalization_56 (BatchNo (None, 128, 128, 64) 256 add_54[0][0] __________________________________________________________________________________________________ activation_111 (Activation) (None, 128, 128, 64) 0 batch_normalization_56[0][0] __________________________________________________________________________________________________ conv2d_111 (Conv2D) (None, 128, 128, 64) 36928 activation_111[0][0] __________________________________________________________________________________________________ dropout_55 (Dropout) (None, 128, 128, 64) 0 conv2d_111[0][0] __________________________________________________________________________________________________ activation_112 (Activation) (None, 128, 128, 64) 0 dropout_55[0][0] __________________________________________________________________________________________________ conv2d_112 (Conv2D) (None, 128, 128, 64) 36928 activation_112[0][0] __________________________________________________________________________________________________ add_55 (Add) (None, 128, 128, 64) 0 conv2d_112[0][0] add_54[0][0] __________________________________________________________________________________________________ batch_normalization_57 (BatchNo (None, 128, 128, 64) 256 add_55[0][0] __________________________________________________________________________________________________ activation_113 (Activation) (None, 128, 128, 64) 0 batch_normalization_57[0][0] __________________________________________________________________________________________________ conv2d_113 (Conv2D) (None, 128, 128, 64) 36928 activation_113[0][0] __________________________________________________________________________________________________ dropout_56 (Dropout) (None, 128, 128, 64) 0 conv2d_113[0][0] __________________________________________________________________________________________________ activation_114 (Activation) (None, 128, 128, 64) 0 dropout_56[0][0] __________________________________________________________________________________________________ conv2d_114 (Conv2D) (None, 128, 128, 64) 36928 activation_114[0][0] __________________________________________________________________________________________________ add_56 (Add) (None, 128, 128, 64) 0 conv2d_114[0][0] add_55[0][0] __________________________________________________________________________________________________ batch_normalization_58 (BatchNo (None, 128, 128, 64) 256 add_56[0][0] __________________________________________________________________________________________________ activation_115 (Activation) (None, 128, 128, 64) 0 batch_normalization_58[0][0] __________________________________________________________________________________________________ conv2d_115 (Conv2D) (None, 128, 128, 64) 36928 activation_115[0][0] __________________________________________________________________________________________________ dropout_57 (Dropout) (None, 128, 128, 64) 0 conv2d_115[0][0] __________________________________________________________________________________________________ activation_116 (Activation) (None, 128, 128, 64) 0 dropout_57[0][0] __________________________________________________________________________________________________ conv2d_116 (Conv2D) (None, 128, 128, 64) 36928 activation_116[0][0] __________________________________________________________________________________________________ add_57 (Add) (None, 128, 128, 64) 0 conv2d_116[0][0] add_56[0][0] __________________________________________________________________________________________________ batch_normalization_59 (BatchNo (None, 128, 128, 64) 256 add_57[0][0] __________________________________________________________________________________________________ activation_117 (Activation) (None, 128, 128, 64) 0 batch_normalization_59[0][0] __________________________________________________________________________________________________ conv2d_117 (Conv2D) (None, 128, 128, 64) 36928 activation_117[0][0] __________________________________________________________________________________________________ dropout_58 (Dropout) (None, 128, 128, 64) 0 conv2d_117[0][0] __________________________________________________________________________________________________ activation_118 (Activation) (None, 128, 128, 64) 0 dropout_58[0][0] __________________________________________________________________________________________________ conv2d_118 (Conv2D) (None, 128, 128, 64) 36928 activation_118[0][0] __________________________________________________________________________________________________ add_58 (Add) (None, 128, 128, 64) 0 conv2d_118[0][0] add_57[0][0] __________________________________________________________________________________________________ batch_normalization_60 (BatchNo (None, 128, 128, 64) 256 add_58[0][0] __________________________________________________________________________________________________ activation_119 (Activation) (None, 128, 128, 64) 0 batch_normalization_60[0][0] __________________________________________________________________________________________________ conv2d_119 (Conv2D) (None, 128, 128, 64) 36928 activation_119[0][0] __________________________________________________________________________________________________ dropout_59 (Dropout) (None, 128, 128, 64) 0 conv2d_119[0][0] __________________________________________________________________________________________________ activation_120 (Activation) (None, 128, 128, 64) 0 dropout_59[0][0] __________________________________________________________________________________________________ conv2d_120 (Conv2D) (None, 128, 128, 64) 36928 activation_120[0][0] __________________________________________________________________________________________________ add_59 (Add) (None, 128, 128, 64) 0 conv2d_120[0][0] add_58[0][0] __________________________________________________________________________________________________ batch_normalization_61 (BatchNo (None, 128, 128, 64) 256 add_59[0][0] __________________________________________________________________________________________________ activation_121 (Activation) (None, 128, 128, 64) 0 batch_normalization_61[0][0] __________________________________________________________________________________________________ conv2d_121 (Conv2D) (None, 128, 128, 64) 36928 activation_121[0][0] __________________________________________________________________________________________________ dropout_60 (Dropout) (None, 128, 128, 64) 0 conv2d_121[0][0] __________________________________________________________________________________________________ activation_122 (Activation) (None, 128, 128, 64) 0 dropout_60[0][0] __________________________________________________________________________________________________ conv2d_122 (Conv2D) (None, 128, 128, 64) 36928 activation_122[0][0] __________________________________________________________________________________________________ add_60 (Add) (None, 128, 128, 64) 0 conv2d_122[0][0] add_59[0][0] __________________________________________________________________________________________________ batch_normalization_62 (BatchNo (None, 128, 128, 64) 256 add_60[0][0] __________________________________________________________________________________________________ activation_123 (Activation) (None, 128, 128, 64) 0 batch_normalization_62[0][0] __________________________________________________________________________________________________ conv2d_123 (Conv2D) (None, 128, 128, 64) 36928 activation_123[0][0] __________________________________________________________________________________________________ dropout_61 (Dropout) (None, 128, 128, 64) 0 conv2d_123[0][0] __________________________________________________________________________________________________ activation_124 (Activation) (None, 128, 128, 64) 0 dropout_61[0][0] __________________________________________________________________________________________________ conv2d_124 (Conv2D) (None, 128, 128, 64) 36928 activation_124[0][0] __________________________________________________________________________________________________ add_61 (Add) (None, 128, 128, 64) 0 conv2d_124[0][0] add_60[0][0] __________________________________________________________________________________________________ batch_normalization_63 (BatchNo (None, 128, 128, 64) 256 add_61[0][0] __________________________________________________________________________________________________ activation_125 (Activation) (None, 128, 128, 64) 0 batch_normalization_63[0][0] __________________________________________________________________________________________________ conv2d_125 (Conv2D) (None, 128, 128, 64) 36928 activation_125[0][0] __________________________________________________________________________________________________ dropout_62 (Dropout) (None, 128, 128, 64) 0 conv2d_125[0][0] __________________________________________________________________________________________________ activation_126 (Activation) (None, 128, 128, 64) 0 dropout_62[0][0] __________________________________________________________________________________________________ conv2d_126 (Conv2D) (None, 128, 128, 64) 36928 activation_126[0][0] __________________________________________________________________________________________________ add_62 (Add) (None, 128, 128, 64) 0 conv2d_126[0][0] add_61[0][0] __________________________________________________________________________________________________ batch_normalization_64 (BatchNo (None, 128, 128, 64) 256 add_62[0][0] __________________________________________________________________________________________________ activation_127 (Activation) (None, 128, 128, 64) 0 batch_normalization_64[0][0] __________________________________________________________________________________________________ conv2d_127 (Conv2D) (None, 128, 128, 64) 36928 activation_127[0][0] __________________________________________________________________________________________________ dropout_63 (Dropout) (None, 128, 128, 64) 0 conv2d_127[0][0] __________________________________________________________________________________________________ activation_128 (Activation) (None, 128, 128, 64) 0 dropout_63[0][0] __________________________________________________________________________________________________ conv2d_128 (Conv2D) (None, 128, 128, 64) 36928 activation_128[0][0] __________________________________________________________________________________________________ add_63 (Add) (None, 128, 128, 64) 0 conv2d_128[0][0] add_62[0][0] __________________________________________________________________________________________________ batch_normalization_65 (BatchNo (None, 128, 128, 64) 256 add_63[0][0] __________________________________________________________________________________________________ activation_129 (Activation) (None, 128, 128, 64) 0 batch_normalization_65[0][0] __________________________________________________________________________________________________ conv2d_129 (Conv2D) (None, 128, 128, 64) 36928 activation_129[0][0] __________________________________________________________________________________________________ dropout_64 (Dropout) (None, 128, 128, 64) 0 conv2d_129[0][0] __________________________________________________________________________________________________ activation_130 (Activation) (None, 128, 128, 64) 0 dropout_64[0][0] __________________________________________________________________________________________________ conv2d_130 (Conv2D) (None, 128, 128, 64) 36928 activation_130[0][0] __________________________________________________________________________________________________ add_64 (Add) (None, 128, 128, 64) 0 conv2d_130[0][0] add_63[0][0] __________________________________________________________________________________________________ batch_normalization_66 (BatchNo (None, 128, 128, 64) 256 add_64[0][0] __________________________________________________________________________________________________ activation_131 (Activation) (None, 128, 128, 64) 0 batch_normalization_66[0][0] __________________________________________________________________________________________________ conv2d_131 (Conv2D) (None, 128, 128, 64) 36928 activation_131[0][0] __________________________________________________________________________________________________ dropout_65 (Dropout) (None, 128, 128, 64) 0 conv2d_131[0][0] __________________________________________________________________________________________________ activation_132 (Activation) (None, 128, 128, 64) 0 dropout_65[0][0] __________________________________________________________________________________________________ conv2d_132 (Conv2D) (None, 128, 128, 64) 36928 activation_132[0][0] __________________________________________________________________________________________________ add_65 (Add) (None, 128, 128, 64) 0 conv2d_132[0][0] add_64[0][0] __________________________________________________________________________________________________ batch_normalization_67 (BatchNo (None, 128, 128, 64) 256 add_65[0][0] __________________________________________________________________________________________________ activation_133 (Activation) (None, 128, 128, 64) 0 batch_normalization_67[0][0] __________________________________________________________________________________________________ conv2d_133 (Conv2D) (None, 128, 128, 64) 36928 activation_133[0][0] __________________________________________________________________________________________________ dropout_66 (Dropout) (None, 128, 128, 64) 0 conv2d_133[0][0] __________________________________________________________________________________________________ activation_134 (Activation) (None, 128, 128, 64) 0 dropout_66[0][0] __________________________________________________________________________________________________ conv2d_134 (Conv2D) (None, 128, 128, 64) 36928 activation_134[0][0] __________________________________________________________________________________________________ add_66 (Add) (None, 128, 128, 64) 0 conv2d_134[0][0] add_65[0][0] __________________________________________________________________________________________________ batch_normalization_68 (BatchNo (None, 128, 128, 64) 256 add_66[0][0] __________________________________________________________________________________________________ activation_135 (Activation) (None, 128, 128, 64) 0 batch_normalization_68[0][0] __________________________________________________________________________________________________ conv2d_135 (Conv2D) (None, 128, 128, 64) 36928 activation_135[0][0] __________________________________________________________________________________________________ dropout_67 (Dropout) (None, 128, 128, 64) 0 conv2d_135[0][0] __________________________________________________________________________________________________ activation_136 (Activation) (None, 128, 128, 64) 0 dropout_67[0][0] __________________________________________________________________________________________________ conv2d_136 (Conv2D) (None, 128, 128, 64) 36928 activation_136[0][0] __________________________________________________________________________________________________ add_67 (Add) (None, 128, 128, 64) 0 conv2d_136[0][0] add_66[0][0] __________________________________________________________________________________________________ batch_normalization_69 (BatchNo (None, 128, 128, 64) 256 add_67[0][0] __________________________________________________________________________________________________ activation_137 (Activation) (None, 128, 128, 64) 0 batch_normalization_69[0][0] __________________________________________________________________________________________________ conv2d_137 (Conv2D) (None, 128, 128, 64) 36928 activation_137[0][0] __________________________________________________________________________________________________ dropout_68 (Dropout) (None, 128, 128, 64) 0 conv2d_137[0][0] __________________________________________________________________________________________________ activation_138 (Activation) (None, 128, 128, 64) 0 dropout_68[0][0] __________________________________________________________________________________________________ conv2d_138 (Conv2D) (None, 128, 128, 64) 36928 activation_138[0][0] __________________________________________________________________________________________________ add_68 (Add) (None, 128, 128, 64) 0 conv2d_138[0][0] add_67[0][0] __________________________________________________________________________________________________ batch_normalization_70 (BatchNo (None, 128, 128, 64) 256 add_68[0][0] __________________________________________________________________________________________________ activation_139 (Activation) (None, 128, 128, 64) 0 batch_normalization_70[0][0] __________________________________________________________________________________________________ conv2d_139 (Conv2D) (None, 128, 128, 64) 36928 activation_139[0][0] __________________________________________________________________________________________________ dropout_69 (Dropout) (None, 128, 128, 64) 0 conv2d_139[0][0] __________________________________________________________________________________________________ activation_140 (Activation) (None, 128, 128, 64) 0 dropout_69[0][0] __________________________________________________________________________________________________ conv2d_140 (Conv2D) (None, 128, 128, 64) 36928 activation_140[0][0] __________________________________________________________________________________________________ add_69 (Add) (None, 128, 128, 64) 0 conv2d_140[0][0] add_68[0][0] __________________________________________________________________________________________________ batch_normalization_71 (BatchNo (None, 128, 128, 64) 256 add_69[0][0] __________________________________________________________________________________________________ activation_141 (Activation) (None, 128, 128, 64) 0 batch_normalization_71[0][0] __________________________________________________________________________________________________ conv2d_141 (Conv2D) (None, 128, 128, 64) 36928 activation_141[0][0] __________________________________________________________________________________________________ dropout_70 (Dropout) (None, 128, 128, 64) 0 conv2d_141[0][0] __________________________________________________________________________________________________ activation_142 (Activation) (None, 128, 128, 64) 0 dropout_70[0][0] __________________________________________________________________________________________________ conv2d_142 (Conv2D) (None, 128, 128, 64) 36928 activation_142[0][0] __________________________________________________________________________________________________ add_70 (Add) (None, 128, 128, 64) 0 conv2d_142[0][0] add_69[0][0] __________________________________________________________________________________________________ batch_normalization_72 (BatchNo (None, 128, 128, 64) 256 add_70[0][0] __________________________________________________________________________________________________ activation_143 (Activation) (None, 128, 128, 64) 0 batch_normalization_72[0][0] __________________________________________________________________________________________________ conv2d_143 (Conv2D) (None, 128, 128, 64) 36928 activation_143[0][0] __________________________________________________________________________________________________ dropout_71 (Dropout) (None, 128, 128, 64) 0 conv2d_143[0][0] __________________________________________________________________________________________________ activation_144 (Activation) (None, 128, 128, 64) 0 dropout_71[0][0] __________________________________________________________________________________________________ conv2d_144 (Conv2D) (None, 128, 128, 64) 36928 activation_144[0][0] __________________________________________________________________________________________________ add_71 (Add) (None, 128, 128, 64) 0 conv2d_144[0][0] add_70[0][0] __________________________________________________________________________________________________ batch_normalization_73 (BatchNo (None, 128, 128, 64) 256 add_71[0][0] __________________________________________________________________________________________________ activation_145 (Activation) (None, 128, 128, 64) 0 batch_normalization_73[0][0] __________________________________________________________________________________________________ conv2d_145 (Conv2D) (None, 128, 128, 64) 36928 activation_145[0][0] __________________________________________________________________________________________________ dropout_72 (Dropout) (None, 128, 128, 64) 0 conv2d_145[0][0] __________________________________________________________________________________________________ activation_146 (Activation) (None, 128, 128, 64) 0 dropout_72[0][0] __________________________________________________________________________________________________ conv2d_146 (Conv2D) (None, 128, 128, 64) 36928 activation_146[0][0] __________________________________________________________________________________________________ add_72 (Add) (None, 128, 128, 64) 0 conv2d_146[0][0] add_71[0][0] __________________________________________________________________________________________________ batch_normalization_74 (BatchNo (None, 128, 128, 64) 256 add_72[0][0] __________________________________________________________________________________________________ activation_147 (Activation) (None, 128, 128, 64) 0 batch_normalization_74[0][0] __________________________________________________________________________________________________ conv2d_147 (Conv2D) (None, 128, 128, 64) 36928 activation_147[0][0] __________________________________________________________________________________________________ dropout_73 (Dropout) (None, 128, 128, 64) 0 conv2d_147[0][0] __________________________________________________________________________________________________ activation_148 (Activation) (None, 128, 128, 64) 0 dropout_73[0][0] __________________________________________________________________________________________________ conv2d_148 (Conv2D) (None, 128, 128, 64) 36928 activation_148[0][0] __________________________________________________________________________________________________ add_73 (Add) (None, 128, 128, 64) 0 conv2d_148[0][0] add_72[0][0] __________________________________________________________________________________________________ batch_normalization_75 (BatchNo (None, 128, 128, 64) 256 add_73[0][0] __________________________________________________________________________________________________ activation_149 (Activation) (None, 128, 128, 64) 0 batch_normalization_75[0][0] __________________________________________________________________________________________________ conv2d_149 (Conv2D) (None, 128, 128, 64) 36928 activation_149[0][0] __________________________________________________________________________________________________ dropout_74 (Dropout) (None, 128, 128, 64) 0 conv2d_149[0][0] __________________________________________________________________________________________________ activation_150 (Activation) (None, 128, 128, 64) 0 dropout_74[0][0] __________________________________________________________________________________________________ conv2d_150 (Conv2D) (None, 128, 128, 64) 36928 activation_150[0][0] __________________________________________________________________________________________________ add_74 (Add) (None, 128, 128, 64) 0 conv2d_150[0][0] add_73[0][0] __________________________________________________________________________________________________ batch_normalization_76 (BatchNo (None, 128, 128, 64) 256 add_74[0][0] __________________________________________________________________________________________________ activation_151 (Activation) (None, 128, 128, 64) 0 batch_normalization_76[0][0] __________________________________________________________________________________________________ conv2d_151 (Conv2D) (None, 128, 128, 64) 36928 activation_151[0][0] __________________________________________________________________________________________________ dropout_75 (Dropout) (None, 128, 128, 64) 0 conv2d_151[0][0] __________________________________________________________________________________________________ activation_152 (Activation) (None, 128, 128, 64) 0 dropout_75[0][0] __________________________________________________________________________________________________ conv2d_152 (Conv2D) (None, 128, 128, 64) 36928 activation_152[0][0] __________________________________________________________________________________________________ add_75 (Add) (None, 128, 128, 64) 0 conv2d_152[0][0] add_74[0][0] __________________________________________________________________________________________________ batch_normalization_77 (BatchNo (None, 128, 128, 64) 256 add_75[0][0] __________________________________________________________________________________________________ activation_153 (Activation) (None, 128, 128, 64) 0 batch_normalization_77[0][0] __________________________________________________________________________________________________ conv2d_153 (Conv2D) (None, 128, 128, 64) 36928 activation_153[0][0] __________________________________________________________________________________________________ dropout_76 (Dropout) (None, 128, 128, 64) 0 conv2d_153[0][0] __________________________________________________________________________________________________ activation_154 (Activation) (None, 128, 128, 64) 0 dropout_76[0][0] __________________________________________________________________________________________________ conv2d_154 (Conv2D) (None, 128, 128, 64) 36928 activation_154[0][0] __________________________________________________________________________________________________ add_76 (Add) (None, 128, 128, 64) 0 conv2d_154[0][0] add_75[0][0] __________________________________________________________________________________________________ batch_normalization_78 (BatchNo (None, 128, 128, 64) 256 add_76[0][0] __________________________________________________________________________________________________ activation_155 (Activation) (None, 128, 128, 64) 0 batch_normalization_78[0][0] __________________________________________________________________________________________________ conv2d_155 (Conv2D) (None, 128, 128, 64) 36928 activation_155[0][0] __________________________________________________________________________________________________ dropout_77 (Dropout) (None, 128, 128, 64) 0 conv2d_155[0][0] __________________________________________________________________________________________________ activation_156 (Activation) (None, 128, 128, 64) 0 dropout_77[0][0] __________________________________________________________________________________________________ conv2d_156 (Conv2D) (None, 128, 128, 64) 36928 activation_156[0][0] __________________________________________________________________________________________________ add_77 (Add) (None, 128, 128, 64) 0 conv2d_156[0][0] add_76[0][0] __________________________________________________________________________________________________ batch_normalization_79 (BatchNo (None, 128, 128, 64) 256 add_77[0][0] __________________________________________________________________________________________________ activation_157 (Activation) (None, 128, 128, 64) 0 batch_normalization_79[0][0] __________________________________________________________________________________________________ conv2d_157 (Conv2D) (None, 128, 128, 64) 36928 activation_157[0][0] __________________________________________________________________________________________________ dropout_78 (Dropout) (None, 128, 128, 64) 0 conv2d_157[0][0] __________________________________________________________________________________________________ activation_158 (Activation) (None, 128, 128, 64) 0 dropout_78[0][0] __________________________________________________________________________________________________ conv2d_158 (Conv2D) (None, 128, 128, 64) 36928 activation_158[0][0] __________________________________________________________________________________________________ add_78 (Add) (None, 128, 128, 64) 0 conv2d_158[0][0] add_77[0][0] __________________________________________________________________________________________________ batch_normalization_80 (BatchNo (None, 128, 128, 64) 256 add_78[0][0] __________________________________________________________________________________________________ activation_159 (Activation) (None, 128, 128, 64) 0 batch_normalization_80[0][0] __________________________________________________________________________________________________ conv2d_159 (Conv2D) (None, 128, 128, 64) 36928 activation_159[0][0] __________________________________________________________________________________________________ dropout_79 (Dropout) (None, 128, 128, 64) 0 conv2d_159[0][0] __________________________________________________________________________________________________ activation_160 (Activation) (None, 128, 128, 64) 0 dropout_79[0][0] __________________________________________________________________________________________________ conv2d_160 (Conv2D) (None, 128, 128, 64) 36928 activation_160[0][0] __________________________________________________________________________________________________ add_79 (Add) (None, 128, 128, 64) 0 conv2d_160[0][0] add_78[0][0] __________________________________________________________________________________________________ batch_normalization_81 (BatchNo (None, 128, 128, 64) 256 add_79[0][0] __________________________________________________________________________________________________ activation_161 (Activation) (None, 128, 128, 64) 0 batch_normalization_81[0][0] __________________________________________________________________________________________________ conv2d_161 (Conv2D) (None, 128, 128, 64) 36928 activation_161[0][0] __________________________________________________________________________________________________ dropout_80 (Dropout) (None, 128, 128, 64) 0 conv2d_161[0][0] __________________________________________________________________________________________________ activation_162 (Activation) (None, 128, 128, 64) 0 dropout_80[0][0] __________________________________________________________________________________________________ conv2d_162 (Conv2D) (None, 128, 128, 64) 36928 activation_162[0][0] __________________________________________________________________________________________________ add_80 (Add) (None, 128, 128, 64) 0 conv2d_162[0][0] add_79[0][0] __________________________________________________________________________________________________ batch_normalization_82 (BatchNo (None, 128, 128, 64) 256 add_80[0][0] __________________________________________________________________________________________________ activation_163 (Activation) (None, 128, 128, 64) 0 batch_normalization_82[0][0] __________________________________________________________________________________________________ conv2d_163 (Conv2D) (None, 128, 128, 64) 36928 activation_163[0][0] __________________________________________________________________________________________________ dropout_81 (Dropout) (None, 128, 128, 64) 0 conv2d_163[0][0] __________________________________________________________________________________________________ activation_164 (Activation) (None, 128, 128, 64) 0 dropout_81[0][0] __________________________________________________________________________________________________ conv2d_164 (Conv2D) (None, 128, 128, 64) 36928 activation_164[0][0] __________________________________________________________________________________________________ add_81 (Add) (None, 128, 128, 64) 0 conv2d_164[0][0] add_80[0][0] __________________________________________________________________________________________________ batch_normalization_83 (BatchNo (None, 128, 128, 64) 256 add_81[0][0] __________________________________________________________________________________________________ activation_165 (Activation) (None, 128, 128, 64) 0 batch_normalization_83[0][0] __________________________________________________________________________________________________ conv2d_165 (Conv2D) (None, 128, 128, 64) 36928 activation_165[0][0] __________________________________________________________________________________________________ dropout_82 (Dropout) (None, 128, 128, 64) 0 conv2d_165[0][0] __________________________________________________________________________________________________ activation_166 (Activation) (None, 128, 128, 64) 0 dropout_82[0][0] __________________________________________________________________________________________________ conv2d_166 (Conv2D) (None, 128, 128, 64) 36928 activation_166[0][0] __________________________________________________________________________________________________ add_82 (Add) (None, 128, 128, 64) 0 conv2d_166[0][0] add_81[0][0] __________________________________________________________________________________________________ batch_normalization_84 (BatchNo (None, 128, 128, 64) 256 add_82[0][0] __________________________________________________________________________________________________ activation_167 (Activation) (None, 128, 128, 64) 0 batch_normalization_84[0][0] __________________________________________________________________________________________________ conv2d_167 (Conv2D) (None, 128, 128, 64) 36928 activation_167[0][0] __________________________________________________________________________________________________ dropout_83 (Dropout) (None, 128, 128, 64) 0 conv2d_167[0][0] __________________________________________________________________________________________________ activation_168 (Activation) (None, 128, 128, 64) 0 dropout_83[0][0] __________________________________________________________________________________________________ conv2d_168 (Conv2D) (None, 128, 128, 64) 36928 activation_168[0][0] __________________________________________________________________________________________________ add_83 (Add) (None, 128, 128, 64) 0 conv2d_168[0][0] add_82[0][0] __________________________________________________________________________________________________ batch_normalization_85 (BatchNo (None, 128, 128, 64) 256 add_83[0][0] __________________________________________________________________________________________________ activation_169 (Activation) (None, 128, 128, 64) 0 batch_normalization_85[0][0] __________________________________________________________________________________________________ conv2d_169 (Conv2D) (None, 128, 128, 64) 36928 activation_169[0][0] __________________________________________________________________________________________________ dropout_84 (Dropout) (None, 128, 128, 64) 0 conv2d_169[0][0] __________________________________________________________________________________________________ activation_170 (Activation) (None, 128, 128, 64) 0 dropout_84[0][0] __________________________________________________________________________________________________ conv2d_170 (Conv2D) (None, 128, 128, 64) 36928 activation_170[0][0] __________________________________________________________________________________________________ add_84 (Add) (None, 128, 128, 64) 0 conv2d_170[0][0] add_83[0][0] __________________________________________________________________________________________________ batch_normalization_86 (BatchNo (None, 128, 128, 64) 256 add_84[0][0] __________________________________________________________________________________________________ activation_171 (Activation) (None, 128, 128, 64) 0 batch_normalization_86[0][0] __________________________________________________________________________________________________ conv2d_171 (Conv2D) (None, 128, 128, 64) 36928 activation_171[0][0] __________________________________________________________________________________________________ dropout_85 (Dropout) (None, 128, 128, 64) 0 conv2d_171[0][0] __________________________________________________________________________________________________ activation_172 (Activation) (None, 128, 128, 64) 0 dropout_85[0][0] __________________________________________________________________________________________________ conv2d_172 (Conv2D) (None, 128, 128, 64) 36928 activation_172[0][0] __________________________________________________________________________________________________ add_85 (Add) (None, 128, 128, 64) 0 conv2d_172[0][0] add_84[0][0] __________________________________________________________________________________________________ batch_normalization_87 (BatchNo (None, 128, 128, 64) 256 add_85[0][0] __________________________________________________________________________________________________ activation_173 (Activation) (None, 128, 128, 64) 0 batch_normalization_87[0][0] __________________________________________________________________________________________________ conv2d_173 (Conv2D) (None, 128, 128, 64) 36928 activation_173[0][0] __________________________________________________________________________________________________ dropout_86 (Dropout) (None, 128, 128, 64) 0 conv2d_173[0][0] __________________________________________________________________________________________________ activation_174 (Activation) (None, 128, 128, 64) 0 dropout_86[0][0] __________________________________________________________________________________________________ conv2d_174 (Conv2D) (None, 128, 128, 64) 36928 activation_174[0][0] __________________________________________________________________________________________________ add_86 (Add) (None, 128, 128, 64) 0 conv2d_174[0][0] add_85[0][0] __________________________________________________________________________________________________ batch_normalization_88 (BatchNo (None, 128, 128, 64) 256 add_86[0][0] __________________________________________________________________________________________________ activation_175 (Activation) (None, 128, 128, 64) 0 batch_normalization_88[0][0] __________________________________________________________________________________________________ conv2d_175 (Conv2D) (None, 128, 128, 64) 36928 activation_175[0][0] __________________________________________________________________________________________________ dropout_87 (Dropout) (None, 128, 128, 64) 0 conv2d_175[0][0] __________________________________________________________________________________________________ activation_176 (Activation) (None, 128, 128, 64) 0 dropout_87[0][0] __________________________________________________________________________________________________ conv2d_176 (Conv2D) (None, 128, 128, 64) 36928 activation_176[0][0] __________________________________________________________________________________________________ add_87 (Add) (None, 128, 128, 64) 0 conv2d_176[0][0] add_86[0][0] __________________________________________________________________________________________________ batch_normalization_89 (BatchNo (None, 128, 128, 64) 256 add_87[0][0] __________________________________________________________________________________________________ activation_177 (Activation) (None, 128, 128, 64) 0 batch_normalization_89[0][0] __________________________________________________________________________________________________ conv2d_177 (Conv2D) (None, 128, 128, 64) 36928 activation_177[0][0] __________________________________________________________________________________________________ dropout_88 (Dropout) (None, 128, 128, 64) 0 conv2d_177[0][0] __________________________________________________________________________________________________ activation_178 (Activation) (None, 128, 128, 64) 0 dropout_88[0][0] __________________________________________________________________________________________________ conv2d_178 (Conv2D) (None, 128, 128, 64) 36928 activation_178[0][0] __________________________________________________________________________________________________ add_88 (Add) (None, 128, 128, 64) 0 conv2d_178[0][0] add_87[0][0] __________________________________________________________________________________________________ batch_normalization_90 (BatchNo (None, 128, 128, 64) 256 add_88[0][0] __________________________________________________________________________________________________ activation_179 (Activation) (None, 128, 128, 64) 0 batch_normalization_90[0][0] __________________________________________________________________________________________________ conv2d_179 (Conv2D) (None, 128, 128, 64) 36928 activation_179[0][0] __________________________________________________________________________________________________ dropout_89 (Dropout) (None, 128, 128, 64) 0 conv2d_179[0][0] __________________________________________________________________________________________________ activation_180 (Activation) (None, 128, 128, 64) 0 dropout_89[0][0] __________________________________________________________________________________________________ conv2d_180 (Conv2D) (None, 128, 128, 64) 36928 activation_180[0][0] __________________________________________________________________________________________________ add_89 (Add) (None, 128, 128, 64) 0 conv2d_180[0][0] add_88[0][0] __________________________________________________________________________________________________ batch_normalization_91 (BatchNo (None, 128, 128, 64) 256 add_89[0][0] __________________________________________________________________________________________________ activation_181 (Activation) (None, 128, 128, 64) 0 batch_normalization_91[0][0] __________________________________________________________________________________________________ conv2d_181 (Conv2D) (None, 128, 128, 64) 36928 activation_181[0][0] __________________________________________________________________________________________________ dropout_90 (Dropout) (None, 128, 128, 64) 0 conv2d_181[0][0] __________________________________________________________________________________________________ activation_182 (Activation) (None, 128, 128, 64) 0 dropout_90[0][0] __________________________________________________________________________________________________ conv2d_182 (Conv2D) (None, 128, 128, 64) 36928 activation_182[0][0] __________________________________________________________________________________________________ add_90 (Add) (None, 128, 128, 64) 0 conv2d_182[0][0] add_89[0][0] __________________________________________________________________________________________________ batch_normalization_92 (BatchNo (None, 128, 128, 64) 256 add_90[0][0] __________________________________________________________________________________________________ activation_183 (Activation) (None, 128, 128, 64) 0 batch_normalization_92[0][0] __________________________________________________________________________________________________ conv2d_183 (Conv2D) (None, 128, 128, 64) 36928 activation_183[0][0] __________________________________________________________________________________________________ dropout_91 (Dropout) (None, 128, 128, 64) 0 conv2d_183[0][0] __________________________________________________________________________________________________ activation_184 (Activation) (None, 128, 128, 64) 0 dropout_91[0][0] __________________________________________________________________________________________________ conv2d_184 (Conv2D) (None, 128, 128, 64) 36928 activation_184[0][0] __________________________________________________________________________________________________ add_91 (Add) (None, 128, 128, 64) 0 conv2d_184[0][0] add_90[0][0] __________________________________________________________________________________________________ batch_normalization_93 (BatchNo (None, 128, 128, 64) 256 add_91[0][0] __________________________________________________________________________________________________ activation_185 (Activation) (None, 128, 128, 64) 0 batch_normalization_93[0][0] __________________________________________________________________________________________________ conv2d_185 (Conv2D) (None, 128, 128, 64) 36928 activation_185[0][0] __________________________________________________________________________________________________ dropout_92 (Dropout) (None, 128, 128, 64) 0 conv2d_185[0][0] __________________________________________________________________________________________________ activation_186 (Activation) (None, 128, 128, 64) 0 dropout_92[0][0] __________________________________________________________________________________________________ conv2d_186 (Conv2D) (None, 128, 128, 64) 36928 activation_186[0][0] __________________________________________________________________________________________________ add_92 (Add) (None, 128, 128, 64) 0 conv2d_186[0][0] add_91[0][0] __________________________________________________________________________________________________ batch_normalization_94 (BatchNo (None, 128, 128, 64) 256 add_92[0][0] __________________________________________________________________________________________________ activation_187 (Activation) (None, 128, 128, 64) 0 batch_normalization_94[0][0] __________________________________________________________________________________________________ conv2d_187 (Conv2D) (None, 128, 128, 64) 36928 activation_187[0][0] __________________________________________________________________________________________________ dropout_93 (Dropout) (None, 128, 128, 64) 0 conv2d_187[0][0] __________________________________________________________________________________________________ activation_188 (Activation) (None, 128, 128, 64) 0 dropout_93[0][0] __________________________________________________________________________________________________ conv2d_188 (Conv2D) (None, 128, 128, 64) 36928 activation_188[0][0] __________________________________________________________________________________________________ add_93 (Add) (None, 128, 128, 64) 0 conv2d_188[0][0] add_92[0][0] __________________________________________________________________________________________________ batch_normalization_95 (BatchNo (None, 128, 128, 64) 256 add_93[0][0] __________________________________________________________________________________________________ activation_189 (Activation) (None, 128, 128, 64) 0 batch_normalization_95[0][0] __________________________________________________________________________________________________ conv2d_189 (Conv2D) (None, 128, 128, 64) 36928 activation_189[0][0] __________________________________________________________________________________________________ dropout_94 (Dropout) (None, 128, 128, 64) 0 conv2d_189[0][0] __________________________________________________________________________________________________ activation_190 (Activation) (None, 128, 128, 64) 0 dropout_94[0][0] __________________________________________________________________________________________________ conv2d_190 (Conv2D) (None, 128, 128, 64) 36928 activation_190[0][0] __________________________________________________________________________________________________ add_94 (Add) (None, 128, 128, 64) 0 conv2d_190[0][0] add_93[0][0] __________________________________________________________________________________________________ batch_normalization_96 (BatchNo (None, 128, 128, 64) 256 add_94[0][0] __________________________________________________________________________________________________ activation_191 (Activation) (None, 128, 128, 64) 0 batch_normalization_96[0][0] __________________________________________________________________________________________________ conv2d_191 (Conv2D) (None, 128, 128, 64) 36928 activation_191[0][0] __________________________________________________________________________________________________ dropout_95 (Dropout) (None, 128, 128, 64) 0 conv2d_191[0][0] __________________________________________________________________________________________________ activation_192 (Activation) (None, 128, 128, 64) 0 dropout_95[0][0] __________________________________________________________________________________________________ conv2d_192 (Conv2D) (None, 128, 128, 64) 36928 activation_192[0][0] __________________________________________________________________________________________________ add_95 (Add) (None, 128, 128, 64) 0 conv2d_192[0][0] add_94[0][0] __________________________________________________________________________________________________ batch_normalization_97 (BatchNo (None, 128, 128, 64) 256 add_95[0][0] __________________________________________________________________________________________________ activation_193 (Activation) (None, 128, 128, 64) 0 batch_normalization_97[0][0] __________________________________________________________________________________________________ conv2d_193 (Conv2D) (None, 128, 128, 64) 36928 activation_193[0][0] __________________________________________________________________________________________________ dropout_96 (Dropout) (None, 128, 128, 64) 0 conv2d_193[0][0] __________________________________________________________________________________________________ activation_194 (Activation) (None, 128, 128, 64) 0 dropout_96[0][0] __________________________________________________________________________________________________ conv2d_194 (Conv2D) (None, 128, 128, 64) 36928 activation_194[0][0] __________________________________________________________________________________________________ add_96 (Add) (None, 128, 128, 64) 0 conv2d_194[0][0] add_95[0][0] __________________________________________________________________________________________________ batch_normalization_98 (BatchNo (None, 128, 128, 64) 256 add_96[0][0] __________________________________________________________________________________________________ activation_195 (Activation) (None, 128, 128, 64) 0 batch_normalization_98[0][0] __________________________________________________________________________________________________ conv2d_195 (Conv2D) (None, 128, 128, 64) 36928 activation_195[0][0] __________________________________________________________________________________________________ dropout_97 (Dropout) (None, 128, 128, 64) 0 conv2d_195[0][0] __________________________________________________________________________________________________ activation_196 (Activation) (None, 128, 128, 64) 0 dropout_97[0][0] __________________________________________________________________________________________________ conv2d_196 (Conv2D) (None, 128, 128, 64) 36928 activation_196[0][0] __________________________________________________________________________________________________ add_97 (Add) (None, 128, 128, 64) 0 conv2d_196[0][0] add_96[0][0] __________________________________________________________________________________________________ batch_normalization_99 (BatchNo (None, 128, 128, 64) 256 add_97[0][0] __________________________________________________________________________________________________ activation_197 (Activation) (None, 128, 128, 64) 0 batch_normalization_99[0][0] __________________________________________________________________________________________________ conv2d_197 (Conv2D) (None, 128, 128, 64) 36928 activation_197[0][0] __________________________________________________________________________________________________ dropout_98 (Dropout) (None, 128, 128, 64) 0 conv2d_197[0][0] __________________________________________________________________________________________________ activation_198 (Activation) (None, 128, 128, 64) 0 dropout_98[0][0] __________________________________________________________________________________________________ conv2d_198 (Conv2D) (None, 128, 128, 64) 36928 activation_198[0][0] __________________________________________________________________________________________________ add_98 (Add) (None, 128, 128, 64) 0 conv2d_198[0][0] add_97[0][0] __________________________________________________________________________________________________ batch_normalization_100 (BatchN (None, 128, 128, 64) 256 add_98[0][0] __________________________________________________________________________________________________ activation_199 (Activation) (None, 128, 128, 64) 0 batch_normalization_100[0][0] __________________________________________________________________________________________________ conv2d_199 (Conv2D) (None, 128, 128, 64) 36928 activation_199[0][0] __________________________________________________________________________________________________ dropout_99 (Dropout) (None, 128, 128, 64) 0 conv2d_199[0][0] __________________________________________________________________________________________________ activation_200 (Activation) (None, 128, 128, 64) 0 dropout_99[0][0] __________________________________________________________________________________________________ conv2d_200 (Conv2D) (None, 128, 128, 64) 36928 activation_200[0][0] __________________________________________________________________________________________________ add_99 (Add) (None, 128, 128, 64) 0 conv2d_200[0][0] add_98[0][0] __________________________________________________________________________________________________ batch_normalization_101 (BatchN (None, 128, 128, 64) 256 add_99[0][0] __________________________________________________________________________________________________ activation_201 (Activation) (None, 128, 128, 64) 0 batch_normalization_101[0][0] __________________________________________________________________________________________________ conv2d_201 (Conv2D) (None, 128, 128, 64) 36928 activation_201[0][0] __________________________________________________________________________________________________ dropout_100 (Dropout) (None, 128, 128, 64) 0 conv2d_201[0][0] __________________________________________________________________________________________________ activation_202 (Activation) (None, 128, 128, 64) 0 dropout_100[0][0] __________________________________________________________________________________________________ conv2d_202 (Conv2D) (None, 128, 128, 64) 36928 activation_202[0][0] __________________________________________________________________________________________________ add_100 (Add) (None, 128, 128, 64) 0 conv2d_202[0][0] add_99[0][0] __________________________________________________________________________________________________ batch_normalization_102 (BatchN (None, 128, 128, 64) 256 add_100[0][0] __________________________________________________________________________________________________ activation_203 (Activation) (None, 128, 128, 64) 0 batch_normalization_102[0][0] __________________________________________________________________________________________________ conv2d_203 (Conv2D) (None, 128, 128, 64) 36928 activation_203[0][0] __________________________________________________________________________________________________ dropout_101 (Dropout) (None, 128, 128, 64) 0 conv2d_203[0][0] __________________________________________________________________________________________________ activation_204 (Activation) (None, 128, 128, 64) 0 dropout_101[0][0] __________________________________________________________________________________________________ conv2d_204 (Conv2D) (None, 128, 128, 64) 36928 activation_204[0][0] __________________________________________________________________________________________________ add_101 (Add) (None, 128, 128, 64) 0 conv2d_204[0][0] add_100[0][0] __________________________________________________________________________________________________ batch_normalization_103 (BatchN (None, 128, 128, 64) 256 add_101[0][0] __________________________________________________________________________________________________ activation_205 (Activation) (None, 128, 128, 64) 0 batch_normalization_103[0][0] __________________________________________________________________________________________________ conv2d_205 (Conv2D) (None, 128, 128, 64) 36928 activation_205[0][0] __________________________________________________________________________________________________ dropout_102 (Dropout) (None, 128, 128, 64) 0 conv2d_205[0][0] __________________________________________________________________________________________________ activation_206 (Activation) (None, 128, 128, 64) 0 dropout_102[0][0] __________________________________________________________________________________________________ conv2d_206 (Conv2D) (None, 128, 128, 64) 36928 activation_206[0][0] __________________________________________________________________________________________________ add_102 (Add) (None, 128, 128, 64) 0 conv2d_206[0][0] add_101[0][0] __________________________________________________________________________________________________ batch_normalization_104 (BatchN (None, 128, 128, 64) 256 add_102[0][0] __________________________________________________________________________________________________ activation_207 (Activation) (None, 128, 128, 64) 0 batch_normalization_104[0][0] __________________________________________________________________________________________________ conv2d_207 (Conv2D) (None, 128, 128, 64) 36928 activation_207[0][0] __________________________________________________________________________________________________ dropout_103 (Dropout) (None, 128, 128, 64) 0 conv2d_207[0][0] __________________________________________________________________________________________________ activation_208 (Activation) (None, 128, 128, 64) 0 dropout_103[0][0] __________________________________________________________________________________________________ conv2d_208 (Conv2D) (None, 128, 128, 64) 36928 activation_208[0][0] __________________________________________________________________________________________________ add_103 (Add) (None, 128, 128, 64) 0 conv2d_208[0][0] add_102[0][0] __________________________________________________________________________________________________ batch_normalization_105 (BatchN (None, 128, 128, 64) 256 add_103[0][0] __________________________________________________________________________________________________ activation_209 (Activation) (None, 128, 128, 64) 0 batch_normalization_105[0][0] __________________________________________________________________________________________________ conv2d_209 (Conv2D) (None, 128, 128, 64) 36928 activation_209[0][0] __________________________________________________________________________________________________ dropout_104 (Dropout) (None, 128, 128, 64) 0 conv2d_209[0][0] __________________________________________________________________________________________________ activation_210 (Activation) (None, 128, 128, 64) 0 dropout_104[0][0] __________________________________________________________________________________________________ conv2d_210 (Conv2D) (None, 128, 128, 64) 36928 activation_210[0][0] __________________________________________________________________________________________________ add_104 (Add) (None, 128, 128, 64) 0 conv2d_210[0][0] add_103[0][0] __________________________________________________________________________________________________ batch_normalization_106 (BatchN (None, 128, 128, 64) 256 add_104[0][0] __________________________________________________________________________________________________ activation_211 (Activation) (None, 128, 128, 64) 0 batch_normalization_106[0][0] __________________________________________________________________________________________________ conv2d_211 (Conv2D) (None, 128, 128, 64) 36928 activation_211[0][0] __________________________________________________________________________________________________ dropout_105 (Dropout) (None, 128, 128, 64) 0 conv2d_211[0][0] __________________________________________________________________________________________________ activation_212 (Activation) (None, 128, 128, 64) 0 dropout_105[0][0] __________________________________________________________________________________________________ conv2d_212 (Conv2D) (None, 128, 128, 64) 36928 activation_212[0][0] __________________________________________________________________________________________________ add_105 (Add) (None, 128, 128, 64) 0 conv2d_212[0][0] add_104[0][0] __________________________________________________________________________________________________ batch_normalization_107 (BatchN (None, 128, 128, 64) 256 add_105[0][0] __________________________________________________________________________________________________ activation_213 (Activation) (None, 128, 128, 64) 0 batch_normalization_107[0][0] __________________________________________________________________________________________________ conv2d_213 (Conv2D) (None, 128, 128, 64) 36928 activation_213[0][0] __________________________________________________________________________________________________ dropout_106 (Dropout) (None, 128, 128, 64) 0 conv2d_213[0][0] __________________________________________________________________________________________________ activation_214 (Activation) (None, 128, 128, 64) 0 dropout_106[0][0] __________________________________________________________________________________________________ conv2d_214 (Conv2D) (None, 128, 128, 64) 36928 activation_214[0][0] __________________________________________________________________________________________________ add_106 (Add) (None, 128, 128, 64) 0 conv2d_214[0][0] add_105[0][0] __________________________________________________________________________________________________ batch_normalization_108 (BatchN (None, 128, 128, 64) 256 add_106[0][0] __________________________________________________________________________________________________ activation_215 (Activation) (None, 128, 128, 64) 0 batch_normalization_108[0][0] __________________________________________________________________________________________________ conv2d_215 (Conv2D) (None, 128, 128, 64) 36928 activation_215[0][0] __________________________________________________________________________________________________ dropout_107 (Dropout) (None, 128, 128, 64) 0 conv2d_215[0][0] __________________________________________________________________________________________________ activation_216 (Activation) (None, 128, 128, 64) 0 dropout_107[0][0] __________________________________________________________________________________________________ conv2d_216 (Conv2D) (None, 128, 128, 64) 36928 activation_216[0][0] __________________________________________________________________________________________________ add_107 (Add) (None, 128, 128, 64) 0 conv2d_216[0][0] add_106[0][0] __________________________________________________________________________________________________ batch_normalization_109 (BatchN (None, 128, 128, 64) 256 add_107[0][0] __________________________________________________________________________________________________ activation_217 (Activation) (None, 128, 128, 64) 0 batch_normalization_109[0][0] __________________________________________________________________________________________________ conv2d_217 (Conv2D) (None, 128, 128, 64) 36928 activation_217[0][0] __________________________________________________________________________________________________ dropout_108 (Dropout) (None, 128, 128, 64) 0 conv2d_217[0][0] __________________________________________________________________________________________________ activation_218 (Activation) (None, 128, 128, 64) 0 dropout_108[0][0] __________________________________________________________________________________________________ conv2d_218 (Conv2D) (None, 128, 128, 64) 36928 activation_218[0][0] __________________________________________________________________________________________________ add_108 (Add) (None, 128, 128, 64) 0 conv2d_218[0][0] add_107[0][0] __________________________________________________________________________________________________ batch_normalization_110 (BatchN (None, 128, 128, 64) 256 add_108[0][0] __________________________________________________________________________________________________ activation_219 (Activation) (None, 128, 128, 64) 0 batch_normalization_110[0][0] __________________________________________________________________________________________________ conv2d_219 (Conv2D) (None, 128, 128, 64) 36928 activation_219[0][0] __________________________________________________________________________________________________ dropout_109 (Dropout) (None, 128, 128, 64) 0 conv2d_219[0][0] __________________________________________________________________________________________________ activation_220 (Activation) (None, 128, 128, 64) 0 dropout_109[0][0] __________________________________________________________________________________________________ conv2d_220 (Conv2D) (None, 128, 128, 64) 36928 activation_220[0][0] __________________________________________________________________________________________________ add_109 (Add) (None, 128, 128, 64) 0 conv2d_220[0][0] add_108[0][0] __________________________________________________________________________________________________ batch_normalization_111 (BatchN (None, 128, 128, 64) 256 add_109[0][0] __________________________________________________________________________________________________ activation_221 (Activation) (None, 128, 128, 64) 0 batch_normalization_111[0][0] __________________________________________________________________________________________________ conv2d_221 (Conv2D) (None, 128, 128, 64) 36928 activation_221[0][0] __________________________________________________________________________________________________ dropout_110 (Dropout) (None, 128, 128, 64) 0 conv2d_221[0][0] __________________________________________________________________________________________________ activation_222 (Activation) (None, 128, 128, 64) 0 dropout_110[0][0] __________________________________________________________________________________________________ conv2d_222 (Conv2D) (None, 128, 128, 64) 36928 activation_222[0][0] __________________________________________________________________________________________________ add_110 (Add) (None, 128, 128, 64) 0 conv2d_222[0][0] add_109[0][0] __________________________________________________________________________________________________ batch_normalization_112 (BatchN (None, 128, 128, 64) 256 add_110[0][0] __________________________________________________________________________________________________ activation_223 (Activation) (None, 128, 128, 64) 0 batch_normalization_112[0][0] __________________________________________________________________________________________________ conv2d_223 (Conv2D) (None, 128, 128, 64) 36928 activation_223[0][0] __________________________________________________________________________________________________ dropout_111 (Dropout) (None, 128, 128, 64) 0 conv2d_223[0][0] __________________________________________________________________________________________________ activation_224 (Activation) (None, 128, 128, 64) 0 dropout_111[0][0] __________________________________________________________________________________________________ conv2d_224 (Conv2D) (None, 128, 128, 64) 36928 activation_224[0][0] __________________________________________________________________________________________________ add_111 (Add) (None, 128, 128, 64) 0 conv2d_224[0][0] add_110[0][0] __________________________________________________________________________________________________ batch_normalization_113 (BatchN (None, 128, 128, 64) 256 add_111[0][0] __________________________________________________________________________________________________ activation_225 (Activation) (None, 128, 128, 64) 0 batch_normalization_113[0][0] __________________________________________________________________________________________________ conv2d_225 (Conv2D) (None, 128, 128, 64) 36928 activation_225[0][0] __________________________________________________________________________________________________ dropout_112 (Dropout) (None, 128, 128, 64) 0 conv2d_225[0][0] __________________________________________________________________________________________________ activation_226 (Activation) (None, 128, 128, 64) 0 dropout_112[0][0] __________________________________________________________________________________________________ conv2d_226 (Conv2D) (None, 128, 128, 64) 36928 activation_226[0][0] __________________________________________________________________________________________________ add_112 (Add) (None, 128, 128, 64) 0 conv2d_226[0][0] add_111[0][0] __________________________________________________________________________________________________ batch_normalization_114 (BatchN (None, 128, 128, 64) 256 add_112[0][0] __________________________________________________________________________________________________ activation_227 (Activation) (None, 128, 128, 64) 0 batch_normalization_114[0][0] __________________________________________________________________________________________________ conv2d_227 (Conv2D) (None, 128, 128, 64) 36928 activation_227[0][0] __________________________________________________________________________________________________ dropout_113 (Dropout) (None, 128, 128, 64) 0 conv2d_227[0][0] __________________________________________________________________________________________________ activation_228 (Activation) (None, 128, 128, 64) 0 dropout_113[0][0] __________________________________________________________________________________________________ conv2d_228 (Conv2D) (None, 128, 128, 64) 36928 activation_228[0][0] __________________________________________________________________________________________________ add_113 (Add) (None, 128, 128, 64) 0 conv2d_228[0][0] add_112[0][0] __________________________________________________________________________________________________ batch_normalization_115 (BatchN (None, 128, 128, 64) 256 add_113[0][0] __________________________________________________________________________________________________ activation_229 (Activation) (None, 128, 128, 64) 0 batch_normalization_115[0][0] __________________________________________________________________________________________________ conv2d_229 (Conv2D) (None, 128, 128, 64) 36928 activation_229[0][0] __________________________________________________________________________________________________ dropout_114 (Dropout) (None, 128, 128, 64) 0 conv2d_229[0][0] __________________________________________________________________________________________________ activation_230 (Activation) (None, 128, 128, 64) 0 dropout_114[0][0] __________________________________________________________________________________________________ conv2d_230 (Conv2D) (None, 128, 128, 64) 36928 activation_230[0][0] __________________________________________________________________________________________________ add_114 (Add) (None, 128, 128, 64) 0 conv2d_230[0][0] add_113[0][0] __________________________________________________________________________________________________ batch_normalization_116 (BatchN (None, 128, 128, 64) 256 add_114[0][0] __________________________________________________________________________________________________ activation_231 (Activation) (None, 128, 128, 64) 0 batch_normalization_116[0][0] __________________________________________________________________________________________________ conv2d_231 (Conv2D) (None, 128, 128, 64) 36928 activation_231[0][0] __________________________________________________________________________________________________ dropout_115 (Dropout) (None, 128, 128, 64) 0 conv2d_231[0][0] __________________________________________________________________________________________________ activation_232 (Activation) (None, 128, 128, 64) 0 dropout_115[0][0] __________________________________________________________________________________________________ conv2d_232 (Conv2D) (None, 128, 128, 64) 36928 activation_232[0][0] __________________________________________________________________________________________________ add_115 (Add) (None, 128, 128, 64) 0 conv2d_232[0][0] add_114[0][0] __________________________________________________________________________________________________ batch_normalization_117 (BatchN (None, 128, 128, 64) 256 add_115[0][0] __________________________________________________________________________________________________ activation_233 (Activation) (None, 128, 128, 64) 0 batch_normalization_117[0][0] __________________________________________________________________________________________________ conv2d_233 (Conv2D) (None, 128, 128, 64) 36928 activation_233[0][0] __________________________________________________________________________________________________ dropout_116 (Dropout) (None, 128, 128, 64) 0 conv2d_233[0][0] __________________________________________________________________________________________________ activation_234 (Activation) (None, 128, 128, 64) 0 dropout_116[0][0] __________________________________________________________________________________________________ conv2d_234 (Conv2D) (None, 128, 128, 64) 36928 activation_234[0][0] __________________________________________________________________________________________________ add_116 (Add) (None, 128, 128, 64) 0 conv2d_234[0][0] add_115[0][0] __________________________________________________________________________________________________ batch_normalization_118 (BatchN (None, 128, 128, 64) 256 add_116[0][0] __________________________________________________________________________________________________ activation_235 (Activation) (None, 128, 128, 64) 0 batch_normalization_118[0][0] __________________________________________________________________________________________________ conv2d_235 (Conv2D) (None, 128, 128, 64) 36928 activation_235[0][0] __________________________________________________________________________________________________ dropout_117 (Dropout) (None, 128, 128, 64) 0 conv2d_235[0][0] __________________________________________________________________________________________________ activation_236 (Activation) (None, 128, 128, 64) 0 dropout_117[0][0] __________________________________________________________________________________________________ conv2d_236 (Conv2D) (None, 128, 128, 64) 36928 activation_236[0][0] __________________________________________________________________________________________________ add_117 (Add) (None, 128, 128, 64) 0 conv2d_236[0][0] add_116[0][0] __________________________________________________________________________________________________ batch_normalization_119 (BatchN (None, 128, 128, 64) 256 add_117[0][0] __________________________________________________________________________________________________ activation_237 (Activation) (None, 128, 128, 64) 0 batch_normalization_119[0][0] __________________________________________________________________________________________________ conv2d_237 (Conv2D) (None, 128, 128, 64) 36928 activation_237[0][0] __________________________________________________________________________________________________ dropout_118 (Dropout) (None, 128, 128, 64) 0 conv2d_237[0][0] __________________________________________________________________________________________________ activation_238 (Activation) (None, 128, 128, 64) 0 dropout_118[0][0] __________________________________________________________________________________________________ conv2d_238 (Conv2D) (None, 128, 128, 64) 36928 activation_238[0][0] __________________________________________________________________________________________________ add_118 (Add) (None, 128, 128, 64) 0 conv2d_238[0][0] add_117[0][0] __________________________________________________________________________________________________ batch_normalization_120 (BatchN (None, 128, 128, 64) 256 add_118[0][0] __________________________________________________________________________________________________ activation_239 (Activation) (None, 128, 128, 64) 0 batch_normalization_120[0][0] __________________________________________________________________________________________________ conv2d_239 (Conv2D) (None, 128, 128, 64) 36928 activation_239[0][0] __________________________________________________________________________________________________ dropout_119 (Dropout) (None, 128, 128, 64) 0 conv2d_239[0][0] __________________________________________________________________________________________________ activation_240 (Activation) (None, 128, 128, 64) 0 dropout_119[0][0] __________________________________________________________________________________________________ conv2d_240 (Conv2D) (None, 128, 128, 64) 36928 activation_240[0][0] __________________________________________________________________________________________________ add_119 (Add) (None, 128, 128, 64) 0 conv2d_240[0][0] add_118[0][0] __________________________________________________________________________________________________ batch_normalization_121 (BatchN (None, 128, 128, 64) 256 add_119[0][0] __________________________________________________________________________________________________ activation_241 (Activation) (None, 128, 128, 64) 0 batch_normalization_121[0][0] __________________________________________________________________________________________________ conv2d_241 (Conv2D) (None, 128, 128, 64) 36928 activation_241[0][0] __________________________________________________________________________________________________ dropout_120 (Dropout) (None, 128, 128, 64) 0 conv2d_241[0][0] __________________________________________________________________________________________________ activation_242 (Activation) (None, 128, 128, 64) 0 dropout_120[0][0] __________________________________________________________________________________________________ conv2d_242 (Conv2D) (None, 128, 128, 64) 36928 activation_242[0][0] __________________________________________________________________________________________________ add_120 (Add) (None, 128, 128, 64) 0 conv2d_242[0][0] add_119[0][0] __________________________________________________________________________________________________ batch_normalization_122 (BatchN (None, 128, 128, 64) 256 add_120[0][0] __________________________________________________________________________________________________ activation_243 (Activation) (None, 128, 128, 64) 0 batch_normalization_122[0][0] __________________________________________________________________________________________________ conv2d_243 (Conv2D) (None, 128, 128, 64) 36928 activation_243[0][0] __________________________________________________________________________________________________ dropout_121 (Dropout) (None, 128, 128, 64) 0 conv2d_243[0][0] __________________________________________________________________________________________________ activation_244 (Activation) (None, 128, 128, 64) 0 dropout_121[0][0] __________________________________________________________________________________________________ conv2d_244 (Conv2D) (None, 128, 128, 64) 36928 activation_244[0][0] __________________________________________________________________________________________________ add_121 (Add) (None, 128, 128, 64) 0 conv2d_244[0][0] add_120[0][0] __________________________________________________________________________________________________ batch_normalization_123 (BatchN (None, 128, 128, 64) 256 add_121[0][0] __________________________________________________________________________________________________ activation_245 (Activation) (None, 128, 128, 64) 0 batch_normalization_123[0][0] __________________________________________________________________________________________________ conv2d_245 (Conv2D) (None, 128, 128, 64) 36928 activation_245[0][0] __________________________________________________________________________________________________ dropout_122 (Dropout) (None, 128, 128, 64) 0 conv2d_245[0][0] __________________________________________________________________________________________________ activation_246 (Activation) (None, 128, 128, 64) 0 dropout_122[0][0] __________________________________________________________________________________________________ conv2d_246 (Conv2D) (None, 128, 128, 64) 36928 activation_246[0][0] __________________________________________________________________________________________________ add_122 (Add) (None, 128, 128, 64) 0 conv2d_246[0][0] add_121[0][0] __________________________________________________________________________________________________ batch_normalization_124 (BatchN (None, 128, 128, 64) 256 add_122[0][0] __________________________________________________________________________________________________ activation_247 (Activation) (None, 128, 128, 64) 0 batch_normalization_124[0][0] __________________________________________________________________________________________________ conv2d_247 (Conv2D) (None, 128, 128, 64) 36928 activation_247[0][0] __________________________________________________________________________________________________ dropout_123 (Dropout) (None, 128, 128, 64) 0 conv2d_247[0][0] __________________________________________________________________________________________________ activation_248 (Activation) (None, 128, 128, 64) 0 dropout_123[0][0] __________________________________________________________________________________________________ conv2d_248 (Conv2D) (None, 128, 128, 64) 36928 activation_248[0][0] __________________________________________________________________________________________________ add_123 (Add) (None, 128, 128, 64) 0 conv2d_248[0][0] add_122[0][0] __________________________________________________________________________________________________ batch_normalization_125 (BatchN (None, 128, 128, 64) 256 add_123[0][0] __________________________________________________________________________________________________ activation_249 (Activation) (None, 128, 128, 64) 0 batch_normalization_125[0][0] __________________________________________________________________________________________________ conv2d_249 (Conv2D) (None, 128, 128, 64) 36928 activation_249[0][0] __________________________________________________________________________________________________ dropout_124 (Dropout) (None, 128, 128, 64) 0 conv2d_249[0][0] __________________________________________________________________________________________________ activation_250 (Activation) (None, 128, 128, 64) 0 dropout_124[0][0] __________________________________________________________________________________________________ conv2d_250 (Conv2D) (None, 128, 128, 64) 36928 activation_250[0][0] __________________________________________________________________________________________________ add_124 (Add) (None, 128, 128, 64) 0 conv2d_250[0][0] add_123[0][0] __________________________________________________________________________________________________ batch_normalization_126 (BatchN (None, 128, 128, 64) 256 add_124[0][0] __________________________________________________________________________________________________ activation_251 (Activation) (None, 128, 128, 64) 0 batch_normalization_126[0][0] __________________________________________________________________________________________________ conv2d_251 (Conv2D) (None, 128, 128, 64) 36928 activation_251[0][0] __________________________________________________________________________________________________ dropout_125 (Dropout) (None, 128, 128, 64) 0 conv2d_251[0][0] __________________________________________________________________________________________________ activation_252 (Activation) (None, 128, 128, 64) 0 dropout_125[0][0] __________________________________________________________________________________________________ conv2d_252 (Conv2D) (None, 128, 128, 64) 36928 activation_252[0][0] __________________________________________________________________________________________________ add_125 (Add) (None, 128, 128, 64) 0 conv2d_252[0][0] add_124[0][0] __________________________________________________________________________________________________ batch_normalization_127 (BatchN (None, 128, 128, 64) 256 add_125[0][0] __________________________________________________________________________________________________ activation_253 (Activation) (None, 128, 128, 64) 0 batch_normalization_127[0][0] __________________________________________________________________________________________________ conv2d_253 (Conv2D) (None, 128, 128, 64) 36928 activation_253[0][0] __________________________________________________________________________________________________ dropout_126 (Dropout) (None, 128, 128, 64) 0 conv2d_253[0][0] __________________________________________________________________________________________________ activation_254 (Activation) (None, 128, 128, 64) 0 dropout_126[0][0] __________________________________________________________________________________________________ conv2d_254 (Conv2D) (None, 128, 128, 64) 36928 activation_254[0][0] __________________________________________________________________________________________________ add_126 (Add) (None, 128, 128, 64) 0 conv2d_254[0][0] add_125[0][0] __________________________________________________________________________________________________ batch_normalization_128 (BatchN (None, 128, 128, 64) 256 add_126[0][0] __________________________________________________________________________________________________ activation_255 (Activation) (None, 128, 128, 64) 0 batch_normalization_128[0][0] __________________________________________________________________________________________________ conv2d_255 (Conv2D) (None, 128, 128, 64) 36928 activation_255[0][0] __________________________________________________________________________________________________ dropout_127 (Dropout) (None, 128, 128, 64) 0 conv2d_255[0][0] __________________________________________________________________________________________________ activation_256 (Activation) (None, 128, 128, 64) 0 dropout_127[0][0] __________________________________________________________________________________________________ conv2d_256 (Conv2D) (None, 128, 128, 64) 36928 activation_256[0][0] __________________________________________________________________________________________________ add_127 (Add) (None, 128, 128, 64) 0 conv2d_256[0][0] add_126[0][0] __________________________________________________________________________________________________ batch_normalization_129 (BatchN (None, 128, 128, 64) 256 add_127[0][0] __________________________________________________________________________________________________ activation_257 (Activation) (None, 128, 128, 64) 0 batch_normalization_129[0][0] __________________________________________________________________________________________________ conv2d_257 (Conv2D) (None, 128, 128, 34) 19618 activation_257[0][0] __________________________________________________________________________________________________ activation_258 (Activation) (None, 128, 128, 34) 0 conv2d_257[0][0] ================================================================================================== Total params: 9,510,150 Trainable params: 9,493,524 Non-trainable params: 16,626 __________________________________________________________________________________________________ None Load weights from distance model.. Model params: L 128 num_blocks 128 width 64 expected_n_channels 57 Copying weights of layer 0 input_2 Copying weights of layer 1 batch_normalization_130 Copying weights of layer 2 activation_259 Copying weights of layer 3 conv2d_258 Copying weights of layer 4 batch_normalization_131 Copying weights of layer 5 activation_260 Copying weights of layer 6 conv2d_259 Copying weights of layer 7 dropout_128 Copying weights of layer 8 activation_261 Copying weights of layer 9 conv2d_260 Copying weights of layer 10 add_128 Copying weights of layer 11 batch_normalization_132 Copying weights of layer 12 activation_262 Copying weights of layer 13 conv2d_261 Copying weights of layer 14 dropout_129 Copying weights of layer 15 activation_263 Copying weights of layer 16 conv2d_262 Copying weights of layer 17 add_129 Copying weights of layer 18 batch_normalization_133 Copying weights of layer 19 activation_264 Copying weights of layer 20 conv2d_263 Copying weights of layer 21 dropout_130 Copying weights of layer 22 activation_265 Copying weights of layer 23 conv2d_264 Copying weights of layer 24 add_130 Copying weights of layer 25 batch_normalization_134 Copying weights of layer 26 activation_266 Copying weights of layer 27 conv2d_265 Copying weights of layer 28 dropout_131 Copying weights of layer 29 activation_267 Copying weights of layer 30 conv2d_266 Copying weights of layer 31 add_131 Copying weights of layer 32 batch_normalization_135 Copying weights of layer 33 activation_268 Copying weights of layer 34 conv2d_267 Copying weights of layer 35 dropout_132 Copying weights of layer 36 activation_269 Copying weights of layer 37 conv2d_268 Copying weights of layer 38 add_132 Copying weights of layer 39 batch_normalization_136 Copying weights of layer 40 activation_270 Copying weights of layer 41 conv2d_269 Copying weights of layer 42 dropout_133 Copying weights of layer 43 activation_271 Copying weights of layer 44 conv2d_270 Copying weights of layer 45 add_133 Copying weights of layer 46 batch_normalization_137 Copying weights of layer 47 activation_272 Copying weights of layer 48 conv2d_271 Copying weights of layer 49 dropout_134 Copying weights of layer 50 activation_273 Copying weights of layer 51 conv2d_272 Copying weights of layer 52 add_134 Copying weights of layer 53 batch_normalization_138 Copying weights of layer 54 activation_274 Copying weights of layer 55 conv2d_273 Copying weights of layer 56 dropout_135 Copying weights of layer 57 activation_275 Copying weights of layer 58 conv2d_274 Copying weights of layer 59 add_135 Copying weights of layer 60 batch_normalization_139 Copying weights of layer 61 activation_276 Copying weights of layer 62 conv2d_275 Copying weights of layer 63 dropout_136 Copying weights of layer 64 activation_277 Copying weights of layer 65 conv2d_276 Copying weights of layer 66 add_136 Copying weights of layer 67 batch_normalization_140 Copying weights of layer 68 activation_278 Copying weights of layer 69 conv2d_277 Copying weights of layer 70 dropout_137 Copying weights of layer 71 activation_279 Copying weights of layer 72 conv2d_278 Copying weights of layer 73 add_137 Copying weights of layer 74 batch_normalization_141 Copying weights of layer 75 activation_280 Copying weights of layer 76 conv2d_279 Copying weights of layer 77 dropout_138 Copying weights of layer 78 activation_281 Copying weights of layer 79 conv2d_280 Copying weights of layer 80 add_138 Copying weights of layer 81 batch_normalization_142 Copying weights of layer 82 activation_282 Copying weights of layer 83 conv2d_281 Copying weights of layer 84 dropout_139 Copying weights of layer 85 activation_283 Copying weights of layer 86 conv2d_282 Copying weights of layer 87 add_139 Copying weights of layer 88 batch_normalization_143 Copying weights of layer 89 activation_284 Copying weights of layer 90 conv2d_283 Copying weights of layer 91 dropout_140 Copying weights of layer 92 activation_285 Copying weights of layer 93 conv2d_284 Copying weights of layer 94 add_140 Copying weights of layer 95 batch_normalization_144 Copying weights of layer 96 activation_286 Copying weights of layer 97 conv2d_285 Copying weights of layer 98 dropout_141 Copying weights of layer 99 activation_287 Copying weights of layer 100 conv2d_286 Copying weights of layer 101 add_141 Copying weights of layer 102 batch_normalization_145 Copying weights of layer 103 activation_288 Copying weights of layer 104 conv2d_287 Copying weights of layer 105 dropout_142 Copying weights of layer 106 activation_289 Copying weights of layer 107 conv2d_288 Copying weights of layer 108 add_142 Copying weights of layer 109 batch_normalization_146 Copying weights of layer 110 activation_290 Copying weights of layer 111 conv2d_289 Copying weights of layer 112 dropout_143 Copying weights of layer 113 activation_291 Copying weights of layer 114 conv2d_290 Copying weights of layer 115 add_143 Copying weights of layer 116 batch_normalization_147 Copying weights of layer 117 activation_292 Copying weights of layer 118 conv2d_291 Copying weights of layer 119 dropout_144 Copying weights of layer 120 activation_293 Copying weights of layer 121 conv2d_292 Copying weights of layer 122 add_144 Copying weights of layer 123 batch_normalization_148 Copying weights of layer 124 activation_294 Copying weights of layer 125 conv2d_293 Copying weights of layer 126 dropout_145 Copying weights of layer 127 activation_295 Copying weights of layer 128 conv2d_294 Copying weights of layer 129 add_145 Copying weights of layer 130 batch_normalization_149 Copying weights of layer 131 activation_296 Copying weights of layer 132 conv2d_295 Copying weights of layer 133 dropout_146 Copying weights of layer 134 activation_297 Copying weights of layer 135 conv2d_296 Copying weights of layer 136 add_146 Copying weights of layer 137 batch_normalization_150 Copying weights of layer 138 activation_298 Copying weights of layer 139 conv2d_297 Copying weights of layer 140 dropout_147 Copying weights of layer 141 activation_299 Copying weights of layer 142 conv2d_298 Copying weights of layer 143 add_147 Copying weights of layer 144 batch_normalization_151 Copying weights of layer 145 activation_300 Copying weights of layer 146 conv2d_299 Copying weights of layer 147 dropout_148 Copying weights of layer 148 activation_301 Copying weights of layer 149 conv2d_300 Copying weights of layer 150 add_148 Copying weights of layer 151 batch_normalization_152 Copying weights of layer 152 activation_302 Copying weights of layer 153 conv2d_301 Copying weights of layer 154 dropout_149 Copying weights of layer 155 activation_303 Copying weights of layer 156 conv2d_302 Copying weights of layer 157 add_149 Copying weights of layer 158 batch_normalization_153 Copying weights of layer 159 activation_304 Copying weights of layer 160 conv2d_303 Copying weights of layer 161 dropout_150 Copying weights of layer 162 activation_305 Copying weights of layer 163 conv2d_304 Copying weights of layer 164 add_150 Copying weights of layer 165 batch_normalization_154 Copying weights of layer 166 activation_306 Copying weights of layer 167 conv2d_305 Copying weights of layer 168 dropout_151 Copying weights of layer 169 activation_307 Copying weights of layer 170 conv2d_306 Copying weights of layer 171 add_151 Copying weights of layer 172 batch_normalization_155 Copying weights of layer 173 activation_308 Copying weights of layer 174 conv2d_307 Copying weights of layer 175 dropout_152 Copying weights of layer 176 activation_309 Copying weights of layer 177 conv2d_308 Copying weights of layer 178 add_152 Copying weights of layer 179 batch_normalization_156 Copying weights of layer 180 activation_310 Copying weights of layer 181 conv2d_309 Copying weights of layer 182 dropout_153 Copying weights of layer 183 activation_311 Copying weights of layer 184 conv2d_310 Copying weights of layer 185 add_153 Copying weights of layer 186 batch_normalization_157 Copying weights of layer 187 activation_312 Copying weights of layer 188 conv2d_311 Copying weights of layer 189 dropout_154 Copying weights of layer 190 activation_313 Copying weights of layer 191 conv2d_312 Copying weights of layer 192 add_154 Copying weights of layer 193 batch_normalization_158 Copying weights of layer 194 activation_314 Copying weights of layer 195 conv2d_313 Copying weights of layer 196 dropout_155 Copying weights of layer 197 activation_315 Copying weights of layer 198 conv2d_314 Copying weights of layer 199 add_155 Copying weights of layer 200 batch_normalization_159 Copying weights of layer 201 activation_316 Copying weights of layer 202 conv2d_315 Copying weights of layer 203 dropout_156 Copying weights of layer 204 activation_317 Copying weights of layer 205 conv2d_316 Copying weights of layer 206 add_156 Copying weights of layer 207 batch_normalization_160 Copying weights of layer 208 activation_318 Copying weights of layer 209 conv2d_317 Copying weights of layer 210 dropout_157 Copying weights of layer 211 activation_319 Copying weights of layer 212 conv2d_318 Copying weights of layer 213 add_157 Copying weights of layer 214 batch_normalization_161 Copying weights of layer 215 activation_320 Copying weights of layer 216 conv2d_319 Copying weights of layer 217 dropout_158 Copying weights of layer 218 activation_321 Copying weights of layer 219 conv2d_320 Copying weights of layer 220 add_158 Copying weights of layer 221 batch_normalization_162 Copying weights of layer 222 activation_322 Copying weights of layer 223 conv2d_321 Copying weights of layer 224 dropout_159 Copying weights of layer 225 activation_323 Copying weights of layer 226 conv2d_322 Copying weights of layer 227 add_159 Copying weights of layer 228 batch_normalization_163 Copying weights of layer 229 activation_324 Copying weights of layer 230 conv2d_323 Copying weights of layer 231 dropout_160 Copying weights of layer 232 activation_325 Copying weights of layer 233 conv2d_324 Copying weights of layer 234 add_160 Copying weights of layer 235 batch_normalization_164 Copying weights of layer 236 activation_326 Copying weights of layer 237 conv2d_325 Copying weights of layer 238 dropout_161 Copying weights of layer 239 activation_327 Copying weights of layer 240 conv2d_326 Copying weights of layer 241 add_161 Copying weights of layer 242 batch_normalization_165 Copying weights of layer 243 activation_328 Copying weights of layer 244 conv2d_327 Copying weights of layer 245 dropout_162 Copying weights of layer 246 activation_329 Copying weights of layer 247 conv2d_328 Copying weights of layer 248 add_162 Copying weights of layer 249 batch_normalization_166 Copying weights of layer 250 activation_330 Copying weights of layer 251 conv2d_329 Copying weights of layer 252 dropout_163 Copying weights of layer 253 activation_331 Copying weights of layer 254 conv2d_330 Copying weights of layer 255 add_163 Copying weights of layer 256 batch_normalization_167 Copying weights of layer 257 activation_332 Copying weights of layer 258 conv2d_331 Copying weights of layer 259 dropout_164 Copying weights of layer 260 activation_333 Copying weights of layer 261 conv2d_332 Copying weights of layer 262 add_164 Copying weights of layer 263 batch_normalization_168 Copying weights of layer 264 activation_334 Copying weights of layer 265 conv2d_333 Copying weights of layer 266 dropout_165 Copying weights of layer 267 activation_335 Copying weights of layer 268 conv2d_334 Copying weights of layer 269 add_165 Copying weights of layer 270 batch_normalization_169 Copying weights of layer 271 activation_336 Copying weights of layer 272 conv2d_335 Copying weights of layer 273 dropout_166 Copying weights of layer 274 activation_337 Copying weights of layer 275 conv2d_336 Copying weights of layer 276 add_166 Copying weights of layer 277 batch_normalization_170 Copying weights of layer 278 activation_338 Copying weights of layer 279 conv2d_337 Copying weights of layer 280 dropout_167 Copying weights of layer 281 activation_339 Copying weights of layer 282 conv2d_338 Copying weights of layer 283 add_167 Copying weights of layer 284 batch_normalization_171 Copying weights of layer 285 activation_340 Copying weights of layer 286 conv2d_339 Copying weights of layer 287 dropout_168 Copying weights of layer 288 activation_341 Copying weights of layer 289 conv2d_340 Copying weights of layer 290 add_168 Copying weights of layer 291 batch_normalization_172 Copying weights of layer 292 activation_342 Copying weights of layer 293 conv2d_341 Copying weights of layer 294 dropout_169 Copying weights of layer 295 activation_343 Copying weights of layer 296 conv2d_342 Copying weights of layer 297 add_169 Copying weights of layer 298 batch_normalization_173 Copying weights of layer 299 activation_344 Copying weights of layer 300 conv2d_343 Copying weights of layer 301 dropout_170 Copying weights of layer 302 activation_345 Copying weights of layer 303 conv2d_344 Copying weights of layer 304 add_170 Copying weights of layer 305 batch_normalization_174 Copying weights of layer 306 activation_346 Copying weights of layer 307 conv2d_345 Copying weights of layer 308 dropout_171 Copying weights of layer 309 activation_347 Copying weights of layer 310 conv2d_346 Copying weights of layer 311 add_171 Copying weights of layer 312 batch_normalization_175 Copying weights of layer 313 activation_348 Copying weights of layer 314 conv2d_347 Copying weights of layer 315 dropout_172 Copying weights of layer 316 activation_349 Copying weights of layer 317 conv2d_348 Copying weights of layer 318 add_172 Copying weights of layer 319 batch_normalization_176 Copying weights of layer 320 activation_350 Copying weights of layer 321 conv2d_349 Copying weights of layer 322 dropout_173 Copying weights of layer 323 activation_351 Copying weights of layer 324 conv2d_350 Copying weights of layer 325 add_173 Copying weights of layer 326 batch_normalization_177 Copying weights of layer 327 activation_352 Copying weights of layer 328 conv2d_351 Copying weights of layer 329 dropout_174 Copying weights of layer 330 activation_353 Copying weights of layer 331 conv2d_352 Copying weights of layer 332 add_174 Copying weights of layer 333 batch_normalization_178 Copying weights of layer 334 activation_354 Copying weights of layer 335 conv2d_353 Copying weights of layer 336 dropout_175 Copying weights of layer 337 activation_355 Copying weights of layer 338 conv2d_354 Copying weights of layer 339 add_175 Copying weights of layer 340 batch_normalization_179 Copying weights of layer 341 activation_356 Copying weights of layer 342 conv2d_355 Copying weights of layer 343 dropout_176 Copying weights of layer 344 activation_357 Copying weights of layer 345 conv2d_356 Copying weights of layer 346 add_176 Copying weights of layer 347 batch_normalization_180 Copying weights of layer 348 activation_358 Copying weights of layer 349 conv2d_357 Copying weights of layer 350 dropout_177 Copying weights of layer 351 activation_359 Copying weights of layer 352 conv2d_358 Copying weights of layer 353 add_177 Copying weights of layer 354 batch_normalization_181 Copying weights of layer 355 activation_360 Copying weights of layer 356 conv2d_359 Copying weights of layer 357 dropout_178 Copying weights of layer 358 activation_361 Copying weights of layer 359 conv2d_360 Copying weights of layer 360 add_178 Copying weights of layer 361 batch_normalization_182 Copying weights of layer 362 activation_362 Copying weights of layer 363 conv2d_361 Copying weights of layer 364 dropout_179 Copying weights of layer 365 activation_363 Copying weights of layer 366 conv2d_362 Copying weights of layer 367 add_179 Copying weights of layer 368 batch_normalization_183 Copying weights of layer 369 activation_364 Copying weights of layer 370 conv2d_363 Copying weights of layer 371 dropout_180 Copying weights of layer 372 activation_365 Copying weights of layer 373 conv2d_364 Copying weights of layer 374 add_180 Copying weights of layer 375 batch_normalization_184 Copying weights of layer 376 activation_366 Copying weights of layer 377 conv2d_365 Copying weights of layer 378 dropout_181 Copying weights of layer 379 activation_367 Copying weights of layer 380 conv2d_366 Copying weights of layer 381 add_181 Copying weights of layer 382 batch_normalization_185 Copying weights of layer 383 activation_368 Copying weights of layer 384 conv2d_367 Copying weights of layer 385 dropout_182 Copying weights of layer 386 activation_369 Copying weights of layer 387 conv2d_368 Copying weights of layer 388 add_182 Copying weights of layer 389 batch_normalization_186 Copying weights of layer 390 activation_370 Copying weights of layer 391 conv2d_369 Copying weights of layer 392 dropout_183 Copying weights of layer 393 activation_371 Copying weights of layer 394 conv2d_370 Copying weights of layer 395 add_183 Copying weights of layer 396 batch_normalization_187 Copying weights of layer 397 activation_372 Copying weights of layer 398 conv2d_371 Copying weights of layer 399 dropout_184 Copying weights of layer 400 activation_373 Copying weights of layer 401 conv2d_372 Copying weights of layer 402 add_184 Copying weights of layer 403 batch_normalization_188 Copying weights of layer 404 activation_374 Copying weights of layer 405 conv2d_373 Copying weights of layer 406 dropout_185 Copying weights of layer 407 activation_375 Copying weights of layer 408 conv2d_374 Copying weights of layer 409 add_185 Copying weights of layer 410 batch_normalization_189 Copying weights of layer 411 activation_376 Copying weights of layer 412 conv2d_375 Copying weights of layer 413 dropout_186 Copying weights of layer 414 activation_377 Copying weights of layer 415 conv2d_376 Copying weights of layer 416 add_186 Copying weights of layer 417 batch_normalization_190 Copying weights of layer 418 activation_378 Copying weights of layer 419 conv2d_377 Copying weights of layer 420 dropout_187 Copying weights of layer 421 activation_379 Copying weights of layer 422 conv2d_378 Copying weights of layer 423 add_187 Copying weights of layer 424 batch_normalization_191 Copying weights of layer 425 activation_380 Copying weights of layer 426 conv2d_379 Copying weights of layer 427 dropout_188 Copying weights of layer 428 activation_381 Copying weights of layer 429 conv2d_380 Copying weights of layer 430 add_188 Copying weights of layer 431 batch_normalization_192 Copying weights of layer 432 activation_382 Copying weights of layer 433 conv2d_381 Copying weights of layer 434 dropout_189 Copying weights of layer 435 activation_383 Copying weights of layer 436 conv2d_382 Copying weights of layer 437 add_189 Copying weights of layer 438 batch_normalization_193 Copying weights of layer 439 activation_384 Copying weights of layer 440 conv2d_383 Copying weights of layer 441 dropout_190 Copying weights of layer 442 activation_385 Copying weights of layer 443 conv2d_384 Copying weights of layer 444 add_190 Copying weights of layer 445 batch_normalization_194 Copying weights of layer 446 activation_386 Copying weights of layer 447 conv2d_385 Copying weights of layer 448 dropout_191 Copying weights of layer 449 activation_387 Copying weights of layer 450 conv2d_386 Copying weights of layer 451 add_191 Copying weights of layer 452 batch_normalization_195 Copying weights of layer 453 activation_388 Copying weights of layer 454 conv2d_387 Copying weights of layer 455 dropout_192 Copying weights of layer 456 activation_389 Copying weights of layer 457 conv2d_388 Copying weights of layer 458 add_192 Copying weights of layer 459 batch_normalization_196 Copying weights of layer 460 activation_390 Copying weights of layer 461 conv2d_389 Copying weights of layer 462 dropout_193 Copying weights of layer 463 activation_391 Copying weights of layer 464 conv2d_390 Copying weights of layer 465 add_193 Copying weights of layer 466 batch_normalization_197 Copying weights of layer 467 activation_392 Copying weights of layer 468 conv2d_391 Copying weights of layer 469 dropout_194 Copying weights of layer 470 activation_393 Copying weights of layer 471 conv2d_392 Copying weights of layer 472 add_194 Copying weights of layer 473 batch_normalization_198 Copying weights of layer 474 activation_394 Copying weights of layer 475 conv2d_393 Copying weights of layer 476 dropout_195 Copying weights of layer 477 activation_395 Copying weights of layer 478 conv2d_394 Copying weights of layer 479 add_195 Copying weights of layer 480 batch_normalization_199 Copying weights of layer 481 activation_396 Copying weights of layer 482 conv2d_395 Copying weights of layer 483 dropout_196 Copying weights of layer 484 activation_397 Copying weights of layer 485 conv2d_396 Copying weights of layer 486 add_196 Copying weights of layer 487 batch_normalization_200 Copying weights of layer 488 activation_398 Copying weights of layer 489 conv2d_397 Copying weights of layer 490 dropout_197 Copying weights of layer 491 activation_399 Copying weights of layer 492 conv2d_398 Copying weights of layer 493 add_197 Copying weights of layer 494 batch_normalization_201 Copying weights of layer 495 activation_400 Copying weights of layer 496 conv2d_399 Copying weights of layer 497 dropout_198 Copying weights of layer 498 activation_401 Copying weights of layer 499 conv2d_400 Copying weights of layer 500 add_198 Copying weights of layer 501 batch_normalization_202 Copying weights of layer 502 activation_402 Copying weights of layer 503 conv2d_401 Copying weights of layer 504 dropout_199 Copying weights of layer 505 activation_403 Copying weights of layer 506 conv2d_402 Copying weights of layer 507 add_199 Copying weights of layer 508 batch_normalization_203 Copying weights of layer 509 activation_404 Copying weights of layer 510 conv2d_403 Copying weights of layer 511 dropout_200 Copying weights of layer 512 activation_405 Copying weights of layer 513 conv2d_404 Copying weights of layer 514 add_200 Copying weights of layer 515 batch_normalization_204 Copying weights of layer 516 activation_406 Copying weights of layer 517 conv2d_405 Copying weights of layer 518 dropout_201 Copying weights of layer 519 activation_407 Copying weights of layer 520 conv2d_406 Copying weights of layer 521 add_201 Copying weights of layer 522 batch_normalization_205 Copying weights of layer 523 activation_408 Copying weights of layer 524 conv2d_407 Copying weights of layer 525 dropout_202 Copying weights of layer 526 activation_409 Copying weights of layer 527 conv2d_408 Copying weights of layer 528 add_202 Copying weights of layer 529 batch_normalization_206 Copying weights of layer 530 activation_410 Copying weights of layer 531 conv2d_409 Copying weights of layer 532 dropout_203 Copying weights of layer 533 activation_411 Copying weights of layer 534 conv2d_410 Copying weights of layer 535 add_203 Copying weights of layer 536 batch_normalization_207 Copying weights of layer 537 activation_412 Copying weights of layer 538 conv2d_411 Copying weights of layer 539 dropout_204 Copying weights of layer 540 activation_413 Copying weights of layer 541 conv2d_412 Copying weights of layer 542 add_204 Copying weights of layer 543 batch_normalization_208 Copying weights of layer 544 activation_414 Copying weights of layer 545 conv2d_413 Copying weights of layer 546 dropout_205 Copying weights of layer 547 activation_415 Copying weights of layer 548 conv2d_414 Copying weights of layer 549 add_205 Copying weights of layer 550 batch_normalization_209 Copying weights of layer 551 activation_416 Copying weights of layer 552 conv2d_415 Copying weights of layer 553 dropout_206 Copying weights of layer 554 activation_417 Copying weights of layer 555 conv2d_416 Copying weights of layer 556 add_206 Copying weights of layer 557 batch_normalization_210 Copying weights of layer 558 activation_418 Copying weights of layer 559 conv2d_417 Copying weights of layer 560 dropout_207 Copying weights of layer 561 activation_419 Copying weights of layer 562 conv2d_418 Copying weights of layer 563 add_207 Copying weights of layer 564 batch_normalization_211 Copying weights of layer 565 activation_420 Copying weights of layer 566 conv2d_419 Copying weights of layer 567 dropout_208 Copying weights of layer 568 activation_421 Copying weights of layer 569 conv2d_420 Copying weights of layer 570 add_208 Copying weights of layer 571 batch_normalization_212 Copying weights of layer 572 activation_422 Copying weights of layer 573 conv2d_421 Copying weights of layer 574 dropout_209 Copying weights of layer 575 activation_423 Copying weights of layer 576 conv2d_422 Copying weights of layer 577 add_209 Copying weights of layer 578 batch_normalization_213 Copying weights of layer 579 activation_424 Copying weights of layer 580 conv2d_423 Copying weights of layer 581 dropout_210 Copying weights of layer 582 activation_425 Copying weights of layer 583 conv2d_424 Copying weights of layer 584 add_210 Copying weights of layer 585 batch_normalization_214 Copying weights of layer 586 activation_426 Copying weights of layer 587 conv2d_425 Copying weights of layer 588 dropout_211 Copying weights of layer 589 activation_427 Copying weights of layer 590 conv2d_426 Copying weights of layer 591 add_211 Copying weights of layer 592 batch_normalization_215 Copying weights of layer 593 activation_428 Copying weights of layer 594 conv2d_427 Copying weights of layer 595 dropout_212 Copying weights of layer 596 activation_429 Copying weights of layer 597 conv2d_428 Copying weights of layer 598 add_212 Copying weights of layer 599 batch_normalization_216 Copying weights of layer 600 activation_430 Copying weights of layer 601 conv2d_429 Copying weights of layer 602 dropout_213 Copying weights of layer 603 activation_431 Copying weights of layer 604 conv2d_430 Copying weights of layer 605 add_213 Copying weights of layer 606 batch_normalization_217 Copying weights of layer 607 activation_432 Copying weights of layer 608 conv2d_431 Copying weights of layer 609 dropout_214 Copying weights of layer 610 activation_433 Copying weights of layer 611 conv2d_432 Copying weights of layer 612 add_214 Copying weights of layer 613 batch_normalization_218 Copying weights of layer 614 activation_434 Copying weights of layer 615 conv2d_433 Copying weights of layer 616 dropout_215 Copying weights of layer 617 activation_435 Copying weights of layer 618 conv2d_434 Copying weights of layer 619 add_215 Copying weights of layer 620 batch_normalization_219 Copying weights of layer 621 activation_436 Copying weights of layer 622 conv2d_435 Copying weights of layer 623 dropout_216 Copying weights of layer 624 activation_437 Copying weights of layer 625 conv2d_436 Copying weights of layer 626 add_216 Copying weights of layer 627 batch_normalization_220 Copying weights of layer 628 activation_438 Copying weights of layer 629 conv2d_437 Copying weights of layer 630 dropout_217 Copying weights of layer 631 activation_439 Copying weights of layer 632 conv2d_438 Copying weights of layer 633 add_217 Copying weights of layer 634 batch_normalization_221 Copying weights of layer 635 activation_440 Copying weights of layer 636 conv2d_439 Copying weights of layer 637 dropout_218 Copying weights of layer 638 activation_441 Copying weights of layer 639 conv2d_440 Copying weights of layer 640 add_218 Copying weights of layer 641 batch_normalization_222 Copying weights of layer 642 activation_442 Copying weights of layer 643 conv2d_441 Copying weights of layer 644 dropout_219 Copying weights of layer 645 activation_443 Copying weights of layer 646 conv2d_442 Copying weights of layer 647 add_219 Copying weights of layer 648 batch_normalization_223 Copying weights of layer 649 activation_444 Copying weights of layer 650 conv2d_443 Copying weights of layer 651 dropout_220 Copying weights of layer 652 activation_445 Copying weights of layer 653 conv2d_444 Copying weights of layer 654 add_220 Copying weights of layer 655 batch_normalization_224 Copying weights of layer 656 activation_446 Copying weights of layer 657 conv2d_445 Copying weights of layer 658 dropout_221 Copying weights of layer 659 activation_447 Copying weights of layer 660 conv2d_446 Copying weights of layer 661 add_221 Copying weights of layer 662 batch_normalization_225 Copying weights of layer 663 activation_448 Copying weights of layer 664 conv2d_447 Copying weights of layer 665 dropout_222 Copying weights of layer 666 activation_449 Copying weights of layer 667 conv2d_448 Copying weights of layer 668 add_222 Copying weights of layer 669 batch_normalization_226 Copying weights of layer 670 activation_450 Copying weights of layer 671 conv2d_449 Copying weights of layer 672 dropout_223 Copying weights of layer 673 activation_451 Copying weights of layer 674 conv2d_450 Copying weights of layer 675 add_223 Copying weights of layer 676 batch_normalization_227 Copying weights of layer 677 activation_452 Copying weights of layer 678 conv2d_451 Copying weights of layer 679 dropout_224 Copying weights of layer 680 activation_453 Copying weights of layer 681 conv2d_452 Copying weights of layer 682 add_224 Copying weights of layer 683 batch_normalization_228 Copying weights of layer 684 activation_454 Copying weights of layer 685 conv2d_453 Copying weights of layer 686 dropout_225 Copying weights of layer 687 activation_455 Copying weights of layer 688 conv2d_454 Copying weights of layer 689 add_225 Copying weights of layer 690 batch_normalization_229 Copying weights of layer 691 activation_456 Copying weights of layer 692 conv2d_455 Copying weights of layer 693 dropout_226 Copying weights of layer 694 activation_457 Copying weights of layer 695 conv2d_456 Copying weights of layer 696 add_226 Copying weights of layer 697 batch_normalization_230 Copying weights of layer 698 activation_458 Copying weights of layer 699 conv2d_457 Copying weights of layer 700 dropout_227 Copying weights of layer 701 activation_459 Copying weights of layer 702 conv2d_458 Copying weights of layer 703 add_227 Copying weights of layer 704 batch_normalization_231 Copying weights of layer 705 activation_460 Copying weights of layer 706 conv2d_459 Copying weights of layer 707 dropout_228 Copying weights of layer 708 activation_461 Copying weights of layer 709 conv2d_460 Copying weights of layer 710 add_228 Copying weights of layer 711 batch_normalization_232 Copying weights of layer 712 activation_462 Copying weights of layer 713 conv2d_461 Copying weights of layer 714 dropout_229 Copying weights of layer 715 activation_463 Copying weights of layer 716 conv2d_462 Copying weights of layer 717 add_229 Copying weights of layer 718 batch_normalization_233 Copying weights of layer 719 activation_464 Copying weights of layer 720 conv2d_463 Copying weights of layer 721 dropout_230 Copying weights of layer 722 activation_465 Copying weights of layer 723 conv2d_464 Copying weights of layer 724 add_230 Copying weights of layer 725 batch_normalization_234 Copying weights of layer 726 activation_466 Copying weights of layer 727 conv2d_465 Copying weights of layer 728 dropout_231 Copying weights of layer 729 activation_467 Copying weights of layer 730 conv2d_466 Copying weights of layer 731 add_231 Copying weights of layer 732 batch_normalization_235 Copying weights of layer 733 activation_468 Copying weights of layer 734 conv2d_467 Copying weights of layer 735 dropout_232 Copying weights of layer 736 activation_469 Copying weights of layer 737 conv2d_468 Copying weights of layer 738 add_232 Copying weights of layer 739 batch_normalization_236 Copying weights of layer 740 activation_470 Copying weights of layer 741 conv2d_469 Copying weights of layer 742 dropout_233 Copying weights of layer 743 activation_471 Copying weights of layer WARNING:tensorflow:From /home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/ops/math_grad.py:1423: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From /home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/keras/optimizer_v2/optimizer_v2.py:468: BaseResourceVariable.constraint (from tensorflow.python.ops.resource_variable_ops) is deprecated and will be removed in a future version. Instructions for updating: Apply a constraint manually following the optimizer update step. 2020-04-25 13:42:04.640029: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-04-25 13:42:06.714663: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.714804: W tensorflow/stream_executor/cuda/ptxas_utils.cc:73] Couldn't invoke /usr/local/cuda/bin/ptxas --version 2020-04-25 13:42:06.718317: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.718411: W tensorflow/stream_executor/cuda/redzone_allocator.cc:311] Internal: Failed to launch ptxas Relying on driver to perform ptx compilation. This message will be only logged once. 2020-04-25 13:42:06.724503: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.729030: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.733206: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.737559: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.741665: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.778376: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:06.782559: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate 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E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.018838: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.022428: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.026374: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.029629: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.035040: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.038304: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.043816: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.047101: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.056409: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.059456: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.063153: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.066387: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.070490: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.073638: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.083224: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.088525: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.093342: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.099147: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.103260: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.106355: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.110183: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.113329: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.119053: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.122125: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.125843: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.129031: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.133198: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.136504: E 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tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.167310: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.475736: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.479355: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.483230: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.487125: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.493603: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.497581: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.518892: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.523138: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.527520: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.531852: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.538459: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.543082: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.549803: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-25 13:42:07.554334: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 744 conv2d_470 Copying weights of layer 745 add_233 Copying weights of layer 746 batch_normalization_237 Copying weights of layer 747 activation_472 Copying weights of layer 748 conv2d_471 Copying weights of layer 749 dropout_234 Copying weights of layer 750 activation_473 Copying weights of layer 751 conv2d_472 Copying weights of layer 752 add_234 Copying weights of layer 753 batch_normalization_238 Copying weights of layer 754 activation_474 Copying weights of layer 755 conv2d_473 Copying weights of layer 756 dropout_235 Copying weights of layer 757 activation_475 Copying weights of layer 758 conv2d_474 Copying weights of layer 759 add_235 Copying weights of layer 760 batch_normalization_239 Copying weights of layer 761 activation_476 Copying weights of layer 762 conv2d_475 Copying weights of layer 763 dropout_236 Copying weights of layer 764 activation_477 Copying weights of layer 765 conv2d_476 Copying weights of layer 766 add_236 Copying weights of layer 767 batch_normalization_240 Copying weights of layer 768 activation_478 Copying weights of layer 769 conv2d_477 Copying weights of layer 770 dropout_237 Copying weights of layer 771 activation_479 Copying weights of layer 772 conv2d_478 Copying weights of layer 773 add_237 Copying weights of layer 774 batch_normalization_241 Copying weights of layer 775 activation_480 Copying weights of layer 776 conv2d_479 Copying weights of layer 777 dropout_238 Copying weights of layer 778 activation_481 Copying weights of layer 779 conv2d_480 Copying weights of layer 780 add_238 Copying weights of layer 781 batch_normalization_242 Copying weights of layer 782 activation_482 Copying weights of layer 783 conv2d_481 Copying weights of layer 784 dropout_239 Copying weights of layer 785 activation_483 Copying weights of layer 786 conv2d_482 Copying weights of layer 787 add_239 Copying weights of layer 788 batch_normalization_243 Copying weights of layer 789 activation_484 Copying weights of layer 790 conv2d_483 Copying weights of layer 791 dropout_240 Copying weights of layer 792 activation_485 Copying weights of layer 793 conv2d_484 Copying weights of layer 794 add_240 Copying weights of layer 795 batch_normalization_244 Copying weights of layer 796 activation_486 Copying weights of layer 797 conv2d_485 Copying weights of layer 798 dropout_241 Copying weights of layer 799 activation_487 Copying weights of layer 800 conv2d_486 Copying weights of layer 801 add_241 Copying weights of layer 802 batch_normalization_245 Copying weights of layer 803 activation_488 Copying weights of layer 804 conv2d_487 Copying weights of layer 805 dropout_242 Copying weights of layer 806 activation_489 Copying weights of layer 807 conv2d_488 Copying weights of layer 808 add_242 Copying weights of layer 809 batch_normalization_246 Copying weights of layer 810 activation_490 Copying weights of layer 811 conv2d_489 Copying weights of layer 812 dropout_243 Copying weights of layer 813 activation_491 Copying weights of layer 814 conv2d_490 Copying weights of layer 815 add_243 Copying weights of layer 816 batch_normalization_247 Copying weights of layer 817 activation_492 Copying weights of layer 818 conv2d_491 Copying weights of layer 819 dropout_244 Copying weights of layer 820 activation_493 Copying weights of layer 821 conv2d_492 Copying weights of layer 822 add_244 Copying weights of layer 823 batch_normalization_248 Copying weights of layer 824 activation_494 Copying weights of layer 825 conv2d_493 Copying weights of layer 826 dropout_245 Copying weights of layer 827 activation_495 Copying weights of layer 828 conv2d_494 Copying weights of layer 829 add_245 Copying weights of layer 830 batch_normalization_249 Copying weights of layer 831 activation_496 Copying weights of layer 832 conv2d_495 Copying weights of layer 833 dropout_246 Copying weights of layer 834 activation_497 Copying weights of layer 835 conv2d_496 Copying weights of layer 836 add_246 Copying weights of layer 837 batch_normalization_250 Copying weights of layer 838 activation_498 Copying weights of layer 839 conv2d_497 Copying weights of layer 840 dropout_247 Copying weights of layer 841 activation_499 Copying weights of layer 842 conv2d_498 Copying weights of layer 843 add_247 Copying weights of layer 844 batch_normalization_251 Copying weights of layer 845 activation_500 Copying weights of layer 846 conv2d_499 Copying weights of layer 847 dropout_248 Copying weights of layer 848 activation_501 Copying weights of layer 849 conv2d_500 Copying weights of layer 850 add_248 Copying weights of layer 851 batch_normalization_252 Copying weights of layer 852 activation_502 Copying weights of layer 853 conv2d_501 Copying weights of layer 854 dropout_249 Copying weights of layer 855 activation_503 Copying weights of layer 856 conv2d_502 Copying weights of layer 857 add_249 Copying weights of layer 858 batch_normalization_253 Copying weights of layer 859 activation_504 Copying weights of layer 860 conv2d_503 Copying weights of layer 861 dropout_250 Copying weights of layer 862 activation_505 Copying weights of layer 863 conv2d_504 Copying weights of layer 864 add_250 Copying weights of layer 865 batch_normalization_254 Copying weights of layer 866 activation_506 Copying weights of layer 867 conv2d_505 Copying weights of layer 868 dropout_251 Copying weights of layer 869 activation_507 Copying weights of layer 870 conv2d_506 Copying weights of layer 871 add_251 Copying weights of layer 872 batch_normalization_255 Copying weights of layer 873 activation_508 Copying weights of layer 874 conv2d_507 Copying weights of layer 875 dropout_252 Copying weights of layer 876 activation_509 Copying weights of layer 877 conv2d_508 Copying weights of layer 878 add_252 Copying weights of layer 879 batch_normalization_256 Copying weights of layer 880 activation_510 Copying weights of layer 881 conv2d_509 Copying weights of layer 882 dropout_253 Copying weights of layer 883 activation_511 Copying weights of layer 884 conv2d_510 Copying weights of layer 885 add_253 Copying weights of layer 886 batch_normalization_257 Copying weights of layer 887 activation_512 Copying weights of layer 888 conv2d_511 Copying weights of layer 889 dropout_254 Copying weights of layer 890 activation_513 Copying weights of layer 891 conv2d_512 Copying weights of layer 892 add_254 Copying weights of layer 893 batch_normalization_258 Copying weights of layer 894 activation_514 Copying weights of layer 895 conv2d_513 Copying weights of layer 896 dropout_255 Copying weights of layer 897 activation_515 Copying weights of layer 898 conv2d_514 Copying weights of layer 899 add_255 Copying weights of layer 900 batch_normalization_259 Copying weights of layer 901 activation_516 Train.. Epoch 1/8 1/1678 [..............................] - ETA: 487:03:44 - loss: 3.4338 - accuracy: 0.0287 2/1678 [..............................] - ETA: 243:34:30 - loss: 3.3580 - accuracy: 0.0896 3/1678 [..............................] - ETA: 162:26:45 - loss: 2.9169 - accuracy: 0.1121 4/1678 [..............................] - ETA: 121:51:16 - loss: 2.9434 - accuracy: 0.1349 5/1678 [..............................] - ETA: 97:31:01 - loss: 2.9551 - accuracy: 0.1528  6/1678 [..............................] - ETA: 81:17:34 - loss: 2.8204 - accuracy: 0.1545 7/1678 [..............................] - ETA: 69:42:23 - loss: 2.7022 - accuracy: 0.1668 8/1678 [..............................] - ETA: 60:59:42 - loss: 2.6229 - accuracy: 0.1739 9/1678 [..............................] - ETA: 54:13:06 - loss: 2.4801 - accuracy: 0.1731 10/1678 [..............................] - ETA: 48:48:48 - loss: 2.3293 - accuracy: 0.1649 11/1678 [..............................] - ETA: 45:10:28 - loss: 2.2970 - accuracy: 0.1741 12/1678 [..............................] - ETA: 43:43:42 - loss: 2.3096 - accuracy: 0.1921 13/1678 [..............................] - ETA: 40:51:38 - loss: 2.3245 - accuracy: 0.2002 14/1678 [..............................] - ETA: 39:12:57 - loss: 2.3294 - accuracy: 0.2084 15/1678 [..............................] - ETA: 36:56:22 - loss: 2.3207 - accuracy: 0.2226 16/1678 [..............................] - ETA: 34:57:18 - loss: 2.2705 - accuracy: 0.2265 17/1678 [..............................] - ETA: 32:58:32 - loss: 2.2067 - accuracy: 0.2188 18/1678 [..............................] - ETA: 31:13:24 - loss: 2.1487 - accuracy: 0.2125 19/1678 [..............................] - ETA: 29:44:54 - loss: 2.1172 - accuracy: 0.2149 20/1678 [..............................] - ETA: 28:24:23 - loss: 2.1173 - accuracy: 0.2149 21/1678 [..............................] - ETA: 27:31:47 - loss: 2.1062 - accuracy: 0.2188 22/1678 [..............................] - ETA: 26:22:23 - loss: 2.0757 - accuracy: 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0.2793 56/1678 [>.............................] - ETA: 16:10:59 - loss: 1.7665 - accuracy: 0.2787 57/1678 [>.............................] - ETA: 15:56:21 - loss: 1.7553 - accuracy: 0.2782 58/1678 [>.............................] - ETA: 15:42:58 - loss: 1.7467 - accuracy: 0.2770 59/1678 [>.............................] - ETA: 15:30:57 - loss: 1.7521 - accuracy: 0.2768 60/1678 [>.............................] - ETA: 15:21:19 - loss: 1.7544 - accuracy: 0.2774 61/1678 [>.............................] - ETA: 15:08:02 - loss: 1.7455 - accuracy: 0.2765 62/1678 [>.............................] - ETA: 15:01:23 - loss: 1.7385 - accuracy: 0.2752 63/1678 [>.............................] - ETA: 14:58:34 - loss: 1.7406 - accuracy: 0.2765 64/1678 [>.............................] - ETA: 14:51:01 - loss: 1.7367 - accuracy: 0.2810 65/1678 [>.............................] - ETA: 14:38:46 - loss: 1.7271 - accuracy: 0.2795 66/1678 [>.............................] - ETA: 14:56:32 - loss: 1.7264 - accuracy: 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[============================>.] - ETA: 11:53 - loss: 1.3166 - accuracy: 0.3621 1649/1678 [============================>.] - ETA: 11:29 - loss: 1.3167 - accuracy: 0.3621 1650/1678 [============================>.] - ETA: 11:05 - loss: 1.3169 - accuracy: 0.3621 1651/1678 [============================>.] - ETA: 10:41 - loss: 1.3166 - accuracy: 0.3620 1652/1678 [============================>.] - ETA: 10:17 - loss: 1.3166 - accuracy: 0.3620 1653/1678 [============================>.] - ETA: 9:53 - loss: 1.3167 - accuracy: 0.3621  1654/1678 [============================>.] - ETA: 9:29 - loss: 1.3166 - accuracy: 0.3620 1655/1678 [============================>.] - ETA: 9:06 - loss: 1.3169 - accuracy: 0.3620 1656/1678 [============================>.] - ETA: 8:43 - loss: 1.3171 - accuracy: 0.3621 1657/1678 [============================>.] - ETA: 8:19 - loss: 1.3171 - accuracy: 0.3622 1658/1678 [============================>.] - ETA: 7:55 - loss: 1.3171 - accuracy: 0.3621 1659/1678 [============================>.] - ETA: 7:31 - loss: 1.3171 - accuracy: 0.3621 1660/1678 [============================>.] - ETA: 7:07 - loss: 1.3172 - accuracy: 0.3621 1661/1678 [============================>.] - ETA: 6:43 - loss: 1.3169 - accuracy: 0.3621 1662/1678 [============================>.] - ETA: 6:20 - loss: 1.3167 - accuracy: 0.3621 1663/1678 [============================>.] - ETA: 5:56 - loss: 1.3170 - accuracy: 0.3621 1664/1678 [============================>.] - ETA: 5:32 - loss: 1.3169 - accuracy: 0.3622 1665/1678 [============================>.] - ETA: 5:08 - loss: 1.3166 - accuracy: 0.3622 1666/1678 [============================>.] - ETA: 4:44 - loss: 1.3171 - accuracy: 0.3622 1667/1678 [============================>.] - ETA: 4:21 - loss: 1.3170 - accuracy: 0.3621 1668/1678 [============================>.] - ETA: 3:57 - loss: 1.3173 - accuracy: 0.3621 1669/1678 [============================>.] - ETA: 3:33 - loss: 1.3175 - accuracy: 0.3621 1670/1678 [============================>.] - ETA: 3:09 - loss: 1.3170 - accuracy: 0.3620 1671/1678 [============================>.] - ETA: 2:46 - loss: 1.3172 - accuracy: 0.3620 1672/1678 [============================>.] - ETA: 2:22 - loss: 1.3170 - accuracy: 0.3620 1673/1678 [============================>.] - ETA: 1:58 - loss: 1.3172 - accuracy: 0.3620 1674/1678 [============================>.] - ETA: 1:34 - loss: 1.3172 - accuracy: 0.3619 1675/1678 [============================>.] - ETA: 1:11 - loss: 1.3171 - accuracy: 0.3620 1676/1678 [============================>.] - ETA: 47s - loss: 1.3171 - accuracy: 0.3622  1677/1678 [============================>.] - ETA: 23s - loss: 1.3168 - accuracy: 0.3621 Epoch 00001: val_loss improved from inf to 1.38444, saving model to binned256.hdf5  1678/1678 [==============================] - 41104s 24s/step - loss: 1.3168 - accuracy: 0.3622 - val_loss: 1.3844 - val_accuracy: 0.3372 Epoch 2/8 1/1678 [..............................] - ETA: 18:40 - loss: 0.3389 - accuracy: 0.1680 2/1678 [..............................] - ETA: 21:30 - loss: 1.0085 - accuracy: 0.2975 3/1678 [..............................] - ETA: 21:43 - loss: 1.2101 - accuracy: 0.3450 4/1678 [..............................] - ETA: 21:35 - loss: 1.2084 - accuracy: 0.3413 5/1678 [..............................] - ETA: 22:16 - loss: 1.0824 - accuracy: 0.3168 6/1678 [..............................] - ETA: 22:34 - loss: 1.1687 - accuracy: 0.3356 7/1678 [..............................] - ETA: 22:20 - loss: 1.1494 - accuracy: 0.3809 8/1678 [..............................] - ETA: 21:55 - loss: 1.2191 - accuracy: 0.3788 9/1678 [..............................] - ETA: 22:08 - loss: 1.2432 - accuracy: 0.3673 10/1678 [..............................] - ETA: 4:14:31 - loss: 1.2831 - accuracy: 0.3723 11/1678 [..............................] - ETA: 4:37:34 - loss: 1.2903 - accuracy: 0.3833 12/1678 [..............................] - ETA: 4:21:18 - loss: 1.2401 - accuracy: 0.3637 13/1678 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[>.............................] - ETA: 6:56:04 - loss: 1.1959 - accuracy: 0.3475 80/1678 [>.............................] - ETA: 6:53:54 - loss: 1.1935 - accuracy: 0.3467 81/1678 [>.............................] - ETA: 6:55:06 - loss: 1.1964 - accuracy: 0.3482 82/1678 [>.............................] - ETA: 6:52:07 - loss: 1.1954 - accuracy: 0.3474 83/1678 [>.............................] - ETA: 6:50:24 - loss: 1.1951 - accuracy: 0.3476 84/1678 [>.............................] - ETA: 6:47:22 - loss: 1.1969 - accuracy: 0.3473 85/1678 [>.............................] - ETA: 6:48:17 - loss: 1.1993 - accuracy: 0.3489 86/1678 [>.............................] - ETA: 6:54:03 - loss: 1.2051 - accuracy: 0.3495 87/1678 [>.............................] - ETA: 6:52:25 - loss: 1.2094 - accuracy: 0.3494 88/1678 [>.............................] - ETA: 6:59:15 - loss: 1.2143 - accuracy: 0.3503 89/1678 [>.............................] - ETA: 6:55:40 - loss: 1.2113 - accuracy: 0.3489 90/1678 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[============================>.] - ETA: 13:29 - loss: 1.2575 - accuracy: 0.3743 1644/1678 [============================>.] - ETA: 13:06 - loss: 1.2577 - accuracy: 0.3743 1645/1678 [============================>.] - ETA: 12:44 - loss: 1.2577 - accuracy: 0.3745 1646/1678 [============================>.] - ETA: 12:21 - loss: 1.2575 - accuracy: 0.3747 1647/1678 [============================>.] - ETA: 11:59 - loss: 1.2572 - accuracy: 0.3748 1648/1678 [============================>.] - ETA: 11:35 - loss: 1.2567 - accuracy: 0.3746 1649/1678 [============================>.] - ETA: 11:12 - loss: 1.2569 - accuracy: 0.3746 1650/1678 [============================>.] - ETA: 10:48 - loss: 1.2573 - accuracy: 0.3746 1651/1678 [============================>.] - ETA: 10:25 - loss: 1.2574 - accuracy: 0.3746 1652/1678 [============================>.] - ETA: 10:02 - loss: 1.2576 - accuracy: 0.3747 1653/1678 [============================>.] - ETA: 9:39 - loss: 1.2576 - accuracy: 0.3748  1654/1678 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[============================>.] - ETA: 5:01 - loss: 1.2580 - accuracy: 0.3746 1666/1678 [============================>.] - ETA: 4:38 - loss: 1.2578 - accuracy: 0.3746 1667/1678 [============================>.] - ETA: 4:14 - loss: 1.2580 - accuracy: 0.3745 1668/1678 [============================>.] - ETA: 3:51 - loss: 1.2581 - accuracy: 0.3745 1669/1678 [============================>.] - ETA: 3:28 - loss: 1.2582 - accuracy: 0.3746 1670/1678 [============================>.] - ETA: 3:05 - loss: 1.2580 - accuracy: 0.3748 1671/1678 [============================>.] - ETA: 2:42 - loss: 1.2577 - accuracy: 0.3747 1672/1678 [============================>.] - ETA: 2:19 - loss: 1.2579 - accuracy: 0.3748 1673/1678 [============================>.] - ETA: 1:55 - loss: 1.2578 - accuracy: 0.3748 1674/1678 [============================>.] - ETA: 1:32 - loss: 1.2577 - accuracy: 0.3748 1675/1678 [============================>.] - ETA: 1:09 - loss: 1.2578 - accuracy: 0.3747 1676/1678 [============================>.] - ETA: 46s - loss: 1.2578 - accuracy: 0.3747  1677/1678 [============================>.] - ETA: 23s - loss: 1.2577 - accuracy: 0.3746 Epoch 00002: val_loss did not improve from 1.38444  1678/1678 [==============================] - 40127s 24s/step - loss: 1.2577 - accuracy: 0.3748 - val_loss: 1.3949 - val_accuracy: 0.3368 Epoch 3/8 1/1678 [..............................] - ETA: 19:04 - loss: 0.8638 - accuracy: 0.2126 2/1678 [..............................] - ETA: 19:36 - loss: 0.8488 - accuracy: 0.1897 3/1678 [..............................] - ETA: 19:57 - loss: 0.9562 - accuracy: 0.2586 4/1678 [..............................] - ETA: 21:19 - loss: 0.9378 - accuracy: 0.3027 5/1678 [..............................] - ETA: 20:38 - loss: 0.9198 - accuracy: 0.2756 6/1678 [..............................] - ETA: 20:23 - loss: 0.9673 - accuracy: 0.3101 7/1678 [..............................] - ETA: 21:09 - loss: 0.9402 - accuracy: 0.3184 8/1678 [..............................] - ETA: 23:27 - loss: 1.0011 - accuracy: 0.3175 9/1678 [..............................] - ETA: 23:09 - loss: 1.0464 - accuracy: 0.3274 10/1678 [..............................] - ETA: 25:58 - loss: 0.9971 - accuracy: 0.3174 11/1678 [..............................] - ETA: 1:29:53 - loss: 1.0262 - accuracy: 0.3335 12/1678 [..............................] - ETA: 2:21:51 - loss: 1.0440 - accuracy: 0.3372 13/1678 [..............................] - ETA: 2:29:33 - loss: 1.0612 - accuracy: 0.3344 14/1678 [..............................] - ETA: 3:28:46 - loss: 1.0664 - accuracy: 0.3306 15/1678 [..............................] - ETA: 4:00:09 - loss: 1.0593 - accuracy: 0.3322 16/1678 [..............................] - ETA: 4:15:11 - loss: 1.0812 - accuracy: 0.3364 17/1678 [..............................] - ETA: 4:21:24 - loss: 1.0994 - accuracy: 0.3412 18/1678 [..............................] - ETA: 4:27:40 - loss: 1.1281 - accuracy: 0.3456 19/1678 [..............................] - ETA: 5:12:23 - loss: 1.1421 - accuracy: 0.3533 20/1678 [..............................] - ETA: 5:09:21 - loss: 1.1457 - accuracy: 0.3510 21/1678 [..............................] - ETA: 5:26:55 - loss: 1.1643 - accuracy: 0.3554 22/1678 [..............................] - ETA: 5:18:40 - loss: 1.1542 - accuracy: 0.3497 23/1678 [..............................] - ETA: 5:11:59 - loss: 1.1388 - accuracy: 0.3513 24/1678 [..............................] - ETA: 5:16:13 - loss: 1.1271 - accuracy: 0.3487 25/1678 [..............................] - ETA: 5:10:46 - loss: 1.1366 - accuracy: 0.3465 26/1678 [..............................] - ETA: 5:22:48 - loss: 1.1427 - accuracy: 0.3539 27/1678 [..............................] - ETA: 5:32:24 - loss: 1.1324 - accuracy: 0.3533 28/1678 [..............................] - ETA: 6:21:49 - loss: 1.1458 - accuracy: 0.3584 29/1678 [..............................] - ETA: 6:27:17 - loss: 1.1569 - accuracy: 0.3620 30/1678 [..............................] - ETA: 7:55:53 - loss: 1.1695 - accuracy: 0.3659 31/1678 [..............................] - ETA: 7:50:30 - loss: 1.2011 - accuracy: 0.3645 32/1678 [..............................] - ETA: 8:50:30 - loss: 1.2044 - accuracy: 0.3711 33/1678 [..............................] - ETA: 9:02:29 - loss: 1.2065 - accuracy: 0.3773 34/1678 [..............................] - ETA: 8:56:33 - loss: 1.2088 - accuracy: 0.3766 35/1678 [..............................] - ETA: 8:55:36 - loss: 1.2165 - accuracy: 0.3763 36/1678 [..............................] - ETA: 9:04:45 - loss: 1.2099 - accuracy: 0.3740 37/1678 [..............................] - ETA: 8:52:55 - loss: 1.2005 - accuracy: 0.3703 38/1678 [..............................] - ETA: 8:53:08 - loss: 1.2035 - accuracy: 0.3738 39/1678 [..............................] - ETA: 8:44:05 - loss: 1.1972 - accuracy: 0.3782 40/1678 [..............................] - ETA: 9:01:37 - loss: 1.2028 - accuracy: 0.3814 41/1678 [..............................] - ETA: 8:59:19 - loss: 1.2165 - accuracy: 0.3807 42/1678 [..............................] - ETA: 8:58:17 - loss: 1.2298 - accuracy: 0.3807 43/1678 [..............................] - ETA: 8:53:38 - loss: 1.2283 - accuracy: 0.3832 44/1678 [..............................] - ETA: 8:53:04 - loss: 1.2338 - accuracy: 0.3849 45/1678 [..............................] - ETA: 9:28:38 - loss: 1.2403 - accuracy: 0.3859 46/1678 [..............................] - ETA: 9:36:19 - loss: 1.2446 - accuracy: 0.3875 47/1678 [..............................] - ETA: 9:49:14 - loss: 1.2392 - accuracy: 0.3936 48/1678 [..............................] - ETA: 9:45:04 - loss: 1.2347 - accuracy: 0.3914 49/1678 [..............................] - ETA: 9:39:29 - loss: 1.2371 - accuracy: 0.3892 50/1678 [..............................] - ETA: 9:44:53 - loss: 1.2423 - accuracy: 0.3873 51/1678 [..............................] - ETA: 9:34:27 - loss: 1.2290 - accuracy: 0.3825 52/1678 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[>.............................] - ETA: 9:54:06 - loss: 1.2544 - accuracy: 0.3826 64/1678 [>.............................] - ETA: 9:55:08 - loss: 1.2537 - accuracy: 0.3822 65/1678 [>.............................] - ETA: 9:49:21 - loss: 1.2603 - accuracy: 0.3807 66/1678 [>.............................] - ETA: 9:59:01 - loss: 1.2599 - accuracy: 0.3794 67/1678 [>.............................] - ETA: 10:05:32 - loss: 1.2568 - accuracy: 0.3839 68/1678 [>.............................] - ETA: 10:00:10 - loss: 1.2514 - accuracy: 0.3832 69/1678 [>.............................] - ETA: 10:03:15 - loss: 1.2443 - accuracy: 0.3822 70/1678 [>.............................] - ETA: 10:12:15 - loss: 1.2468 - accuracy: 0.3837 71/1678 [>.............................] - ETA: 10:15:56 - loss: 1.2463 - accuracy: 0.3844 72/1678 [>.............................] - ETA: 10:10:56 - loss: 1.2460 - accuracy: 0.3837 73/1678 [>.............................] - ETA: 10:07:59 - loss: 1.2437 - accuracy: 0.3830 74/1678 [>.............................] - ETA: 10:00:09 - loss: 1.2318 - accuracy: 0.3795 75/1678 [>.............................] - ETA: 9:53:14 - loss: 1.2263 - accuracy: 0.3775  76/1678 [>.............................] - ETA: 9:46:16 - loss: 1.2182 - accuracy: 0.3756 77/1678 [>.............................] - ETA: 9:44:25 - loss: 1.2214 - accuracy: 0.3769 78/1678 [>.............................] - ETA: 9:42:05 - loss: 1.2240 - accuracy: 0.3769 79/1678 [>.............................] - ETA: 9:42:26 - loss: 1.2224 - accuracy: 0.3796 80/1678 [>.............................] - ETA: 9:36:47 - loss: 1.2207 - accuracy: 0.3787 81/1678 [>.............................] - ETA: 9:30:10 - loss: 1.2129 - accuracy: 0.3751 82/1678 [>.............................] - ETA: 9:24:07 - loss: 1.2064 - accuracy: 0.3739 83/1678 [>.............................] - ETA: 9:41:17 - loss: 1.2119 - accuracy: 0.3743 84/1678 [>.............................] - ETA: 9:35:06 - loss: 1.2060 - accuracy: 0.3717 85/1678 [>.............................] - ETA: 9:34:55 - loss: 1.2105 - accuracy: 0.3720 86/1678 [>.............................] - ETA: 9:29:03 - loss: 1.2045 - accuracy: 0.3705 87/1678 [>.............................] - ETA: 9:29:04 - loss: 1.2015 - accuracy: 0.3706 88/1678 [>.............................] - ETA: 9:28:14 - loss: 1.2002 - accuracy: 0.3692 89/1678 [>.............................] - ETA: 9:26:11 - loss: 1.2013 - accuracy: 0.3691 90/1678 [>.............................] - ETA: 9:31:29 - loss: 1.1974 - accuracy: 0.3702 91/1678 [>.............................] - ETA: 9:29:00 - loss: 1.1939 - accuracy: 0.3709 92/1678 [>.............................] - ETA: 9:24:19 - loss: 1.1970 - accuracy: 0.3703 93/1678 [>.............................] - ETA: 9:21:44 - loss: 1.2029 - accuracy: 0.3705 94/1678 [>.............................] - ETA: 9:18:28 - loss: 1.2078 - accuracy: 0.3706 95/1678 [>.............................] - ETA: 9:13:35 - loss: 1.2040 - accuracy: 0.3691 96/1678 [>.............................] - ETA: 9:11:07 - loss: 1.2015 - accuracy: 0.3687 97/1678 [>.............................] - ETA: 9:19:24 - loss: 1.2067 - accuracy: 0.3689 98/1678 [>.............................] - ETA: 9:16:00 - loss: 1.2070 - accuracy: 0.3686 99/1678 [>.............................] - ETA: 9:12:55 - loss: 1.2065 - accuracy: 0.3692 100/1678 [>.............................] - ETA: 9:08:12 - loss: 1.2045 - accuracy: 0.3676 101/1678 [>.............................] - ETA: 9:09:03 - loss: 1.2066 - accuracy: 0.3683 102/1678 [>.............................] - ETA: 9:10:59 - loss: 1.2075 - accuracy: 0.3702 103/1678 [>.............................] - ETA: 9:08:35 - loss: 1.2059 - accuracy: 0.3685 104/1678 [>.............................] - ETA: 9:06:49 - loss: 1.2096 - accuracy: 0.3690 105/1678 [>.............................] - ETA: 9:05:29 - loss: 1.2124 - accuracy: 0.3699 106/1678 [>.............................] - ETA: 9:14:09 - loss: 1.2136 - accuracy: 0.3720 107/1678 [>.............................] - ETA: 9:13:07 - loss: 1.2170 - accuracy: 0.3728 108/1678 [>.............................] - ETA: 9:10:06 - loss: 1.2179 - accuracy: 0.3724 109/1678 [>.............................] - ETA: 9:07:14 - loss: 1.2230 - accuracy: 0.3722 110/1678 [>.............................] - ETA: 9:02:44 - loss: 1.2166 - accuracy: 0.3708 111/1678 [>.............................] - ETA: 9:01:00 - loss: 1.2170 - accuracy: 0.3724 112/1678 [=>............................] - ETA: 9:00:26 - loss: 1.2184 - accuracy: 0.3733 113/1678 [=>............................] - ETA: 8:56:18 - loss: 1.2156 - accuracy: 0.3721 114/1678 [=>............................] - ETA: 9:02:24 - loss: 1.2237 - accuracy: 0.3719 115/1678 [=>............................] - ETA: 8:58:21 - loss: 1.2201 - accuracy: 0.3711 116/1678 [=>............................] - ETA: 8:58:54 - loss: 1.2211 - accuracy: 0.3727 117/1678 [=>............................] - ETA: 9:15:23 - loss: 1.2211 - accuracy: 0.3748 118/1678 [=>............................] - ETA: 9:25:39 - loss: 1.2200 - accuracy: 0.3774 119/1678 [=>............................] - ETA: 9:29:29 - loss: 1.2229 - accuracy: 0.3786 120/1678 [=>............................] - ETA: 9:25:51 - loss: 1.2253 - accuracy: 0.3785 121/1678 [=>............................] - ETA: 9:22:08 - loss: 1.2261 - accuracy: 0.3778 122/1678 [=>............................] - ETA: 9:21:08 - loss: 1.2276 - accuracy: 0.3782 123/1678 [=>............................] - ETA: 9:22:09 - loss: 1.2301 - accuracy: 0.3789 124/1678 [=>............................] - ETA: 9:21:06 - loss: 1.2295 - accuracy: 0.3792 125/1678 [=>............................] - ETA: 9:25:39 - loss: 1.2322 - accuracy: 0.3799 126/1678 [=>............................] - ETA: 9:24:23 - loss: 1.2280 - accuracy: 0.3801 127/1678 [=>............................] - ETA: 9:27:11 - loss: 1.2302 - accuracy: 0.3811 128/1678 [=>............................] - ETA: 9:30:58 - loss: 1.2303 - accuracy: 0.3825 129/1678 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[============================>.] - ETA: 18:21 - loss: 1.2439 - accuracy: 0.3781 1628/1678 [============================>.] - ETA: 17:59 - loss: 1.2440 - accuracy: 0.3780 1629/1678 [============================>.] - ETA: 17:37 - loss: 1.2443 - accuracy: 0.3780 1630/1678 [============================>.] - ETA: 17:17 - loss: 1.2444 - accuracy: 0.3780 1631/1678 [============================>.] - ETA: 16:55 - loss: 1.2445 - accuracy: 0.3781 1632/1678 [============================>.] - ETA: 16:35 - loss: 1.2448 - accuracy: 0.3781 1633/1678 [============================>.] - ETA: 16:13 - loss: 1.2449 - accuracy: 0.3782 1634/1678 [============================>.] - ETA: 15:51 - loss: 1.2449 - accuracy: 0.3783 1635/1678 [============================>.] - ETA: 15:29 - loss: 1.2447 - accuracy: 0.3782 1636/1678 [============================>.] - ETA: 15:08 - loss: 1.2448 - accuracy: 0.3783 1637/1678 [============================>.] - ETA: 14:47 - loss: 1.2448 - accuracy: 0.3784 1638/1678 [============================>.] - ETA: 14:25 - loss: 1.2444 - accuracy: 0.3784 1639/1678 [============================>.] - ETA: 14:03 - loss: 1.2441 - accuracy: 0.3783 1640/1678 [============================>.] - ETA: 13:41 - loss: 1.2443 - accuracy: 0.3784 1641/1678 [============================>.] - ETA: 13:20 - loss: 1.2445 - accuracy: 0.3785 1642/1678 [============================>.] - ETA: 12:58 - loss: 1.2444 - accuracy: 0.3785 1643/1678 [============================>.] - ETA: 12:36 - loss: 1.2445 - accuracy: 0.3784 1644/1678 [============================>.] - ETA: 12:16 - loss: 1.2446 - accuracy: 0.3785 1645/1678 [============================>.] - ETA: 11:54 - loss: 1.2442 - accuracy: 0.3783 1646/1678 [============================>.] - ETA: 11:32 - loss: 1.2444 - accuracy: 0.3783 1647/1678 [============================>.] - ETA: 11:10 - loss: 1.2442 - accuracy: 0.3782 1648/1678 [============================>.] - ETA: 10:48 - loss: 1.2441 - accuracy: 0.3782 1649/1678 [============================>.] - ETA: 10:27 - loss: 1.2438 - accuracy: 0.3783 1650/1678 [============================>.] - ETA: 10:06 - loss: 1.2436 - accuracy: 0.3783 1651/1678 [============================>.] - ETA: 9:44 - loss: 1.2438 - accuracy: 0.3784  1652/1678 [============================>.] - ETA: 9:22 - loss: 1.2439 - accuracy: 0.3783 1653/1678 [============================>.] - ETA: 9:00 - loss: 1.2435 - accuracy: 0.3783 1654/1678 [============================>.] - ETA: 8:39 - loss: 1.2438 - accuracy: 0.3784 1655/1678 [============================>.] - ETA: 8:17 - loss: 1.2439 - accuracy: 0.3784 1656/1678 [============================>.] - ETA: 7:56 - loss: 1.2436 - accuracy: 0.3785 1657/1678 [============================>.] - ETA: 7:34 - loss: 1.2434 - accuracy: 0.3784 1658/1678 [============================>.] - ETA: 7:12 - loss: 1.2432 - accuracy: 0.3784 1659/1678 [============================>.] - ETA: 6:51 - loss: 1.2433 - accuracy: 0.3784 1660/1678 [============================>.] - ETA: 6:29 - loss: 1.2432 - accuracy: 0.3783 1661/1678 [============================>.] - ETA: 6:07 - loss: 1.2427 - accuracy: 0.3782 1662/1678 [============================>.] - ETA: 5:45 - loss: 1.2426 - accuracy: 0.3783 1663/1678 [============================>.] - ETA: 5:24 - loss: 1.2426 - accuracy: 0.3783 1664/1678 [============================>.] - ETA: 5:02 - loss: 1.2423 - accuracy: 0.3781 1665/1678 [============================>.] - ETA: 4:40 - loss: 1.2425 - accuracy: 0.3781 1666/1678 [============================>.] - ETA: 4:19 - loss: 1.2425 - accuracy: 0.3782 1667/1678 [============================>.] - ETA: 3:58 - loss: 1.2427 - accuracy: 0.3783 1668/1678 [============================>.] - ETA: 3:36 - loss: 1.2427 - accuracy: 0.3783 1669/1678 [============================>.] - ETA: 3:14 - loss: 1.2430 - accuracy: 0.3783 1670/1678 [============================>.] - ETA: 2:53 - loss: 1.2430 - accuracy: 0.3784 1671/1678 [============================>.] - ETA: 2:31 - loss: 1.2434 - accuracy: 0.3783 1672/1678 [============================>.] - ETA: 2:09 - loss: 1.2433 - accuracy: 0.3783 1673/1678 [============================>.] - ETA: 1:48 - loss: 1.2436 - accuracy: 0.3784 1674/1678 [============================>.] - ETA: 1:26 - loss: 1.2437 - accuracy: 0.3784 1675/1678 [============================>.] - ETA: 1:04 - loss: 1.2439 - accuracy: 0.3784 1676/1678 [============================>.] - ETA: 43s - loss: 1.2438 - accuracy: 0.3784  1677/1678 [============================>.] - ETA: 21s - loss: 1.2437 - accuracy: 0.3786 Epoch 00003: val_loss did not improve from 1.38444  1678/1678 [==============================] - 37549s 22s/step - loss: 1.2435 - accuracy: 0.3784 - val_loss: 1.4193 - val_accuracy: 0.3252 Epoch 4/8 1/1678 [..............................] - ETA: 20:52 - loss: 1.4849 - accuracy: 0.4766 2/1678 [..............................] - ETA: 22:32 - loss: 1.2130 - accuracy: 0.3744 3/1678 [..............................] - ETA: 26:51 - loss: 1.1779 - accuracy: 0.4350 4/1678 [..............................] - ETA: 28:58 - loss: 1.1728 - accuracy: 0.4210 5/1678 [..............................] - ETA: 29:19 - loss: 1.1640 - accuracy: 0.4113 6/1678 [..............................] - ETA: 30:21 - loss: 1.1188 - accuracy: 0.4066 7/1678 [..............................] - ETA: 29:47 - loss: 1.1849 - accuracy: 0.4116 8/1678 [..............................] - ETA: 28:52 - loss: 1.1961 - accuracy: 0.3893 9/1678 [..............................] - ETA: 28:08 - loss: 1.2255 - accuracy: 0.3955 10/1678 [..............................] - ETA: 1:07:21 - loss: 1.2152 - accuracy: 0.3925 11/1678 [..............................] - ETA: 2:07:50 - loss: 1.1806 - accuracy: 0.3865 12/1678 [..............................] - ETA: 2:52:55 - loss: 1.1896 - accuracy: 0.3937 13/1678 [..............................] - ETA: 2:57:49 - loss: 1.2102 - accuracy: 0.3915 14/1678 [..............................] - ETA: 3:43:01 - loss: 1.2305 - accuracy: 0.3991 15/1678 [..............................] - ETA: 3:41:13 - loss: 1.2020 - accuracy: 0.3950 16/1678 [..............................] - ETA: 4:51:10 - loss: 1.2016 - accuracy: 0.4094 17/1678 [..............................] - ETA: 4:47:48 - loss: 1.2157 - accuracy: 0.4062 18/1678 [..............................] - ETA: 4:47:30 - loss: 1.2003 - accuracy: 0.4016 19/1678 [..............................] - ETA: 5:05:09 - loss: 1.2021 - accuracy: 0.4097 20/1678 [..............................] - ETA: 5:08:33 - loss: 1.2192 - accuracy: 0.4110 21/1678 [..............................] - ETA: 5:00:53 - loss: 1.2170 - accuracy: 0.4040 22/1678 [..............................] - ETA: 5:00:06 - loss: 1.2335 - accuracy: 0.4042 23/1678 [..............................] - ETA: 5:09:07 - loss: 1.2202 - accuracy: 0.4073 24/1678 [..............................] - ETA: 5:36:23 - loss: 1.2198 - accuracy: 0.4011 25/1678 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[============================>.] - ETA: 21s - loss: 1.2364 - accuracy: 0.3802 Epoch 00004: val_loss improved from 1.38444 to 1.38434, saving model to binned256.hdf5  1678/1678 [==============================] - 37288s 22s/step - loss: 1.2367 - accuracy: 0.3802 - val_loss: 1.3843 - val_accuracy: 0.3386 Epoch 5/8 1/1678 [..............................] - ETA: 37:30 - loss: 1.2373 - accuracy: 0.1913 2/1678 [..............................] - ETA: 39:05 - loss: 1.2219 - accuracy: 0.2465 3/1678 [..............................] - ETA: 32:06 - loss: 1.2887 - accuracy: 0.3103 4/1678 [..............................] - ETA: 30:48 - loss: 1.2716 - accuracy: 0.3339 5/1678 [..............................] - ETA: 29:54 - loss: 1.2899 - accuracy: 0.3247 6/1678 [..............................] - ETA: 28:19 - loss: 1.2510 - accuracy: 0.3384 7/1678 [..............................] - ETA: 28:43 - loss: 1.1696 - accuracy: 0.3041 8/1678 [..............................] - ETA: 29:25 - loss: 1.1384 - 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[>.............................] - ETA: 8:49:44 - loss: 1.2262 - accuracy: 0.3801 98/1678 [>.............................] - ETA: 8:45:23 - loss: 1.2264 - accuracy: 0.3785 99/1678 [>.............................] - ETA: 8:45:04 - loss: 1.2233 - accuracy: 0.3776 100/1678 [>.............................] - ETA: 8:41:36 - loss: 1.2280 - accuracy: 0.3769 101/1678 [>.............................] - ETA: 8:43:31 - loss: 1.2286 - accuracy: 0.3778 102/1678 [>.............................] - ETA: 8:40:14 - loss: 1.2292 - accuracy: 0.3765 103/1678 [>.............................] - ETA: 8:51:26 - loss: 1.2329 - accuracy: 0.3772 104/1678 [>.............................] - ETA: 8:49:05 - loss: 1.2291 - accuracy: 0.3764 105/1678 [>.............................] - ETA: 8:44:31 - loss: 1.2227 - accuracy: 0.3742 106/1678 [>.............................] - ETA: 8:41:48 - loss: 1.2224 - accuracy: 0.3730 107/1678 [>.............................] - ETA: 8:43:41 - loss: 1.2227 - accuracy: 0.3738 108/1678 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[============================>.] - ETA: 10:14 - loss: 1.2315 - accuracy: 0.3814 1651/1678 [============================>.] - ETA: 9:53 - loss: 1.2319 - accuracy: 0.3814  1652/1678 [============================>.] - ETA: 9:31 - loss: 1.2320 - accuracy: 0.3815 1653/1678 [============================>.] - ETA: 9:09 - loss: 1.2320 - accuracy: 0.3815 1654/1678 [============================>.] - ETA: 8:46 - loss: 1.2321 - accuracy: 0.3815 1655/1678 [============================>.] - ETA: 8:24 - loss: 1.2324 - accuracy: 0.3815 1656/1678 [============================>.] - ETA: 8:02 - loss: 1.2323 - accuracy: 0.3814 1657/1678 [============================>.] - ETA: 7:40 - loss: 1.2323 - accuracy: 0.3814 1658/1678 [============================>.] - ETA: 7:18 - loss: 1.2322 - accuracy: 0.3813 1659/1678 [============================>.] - ETA: 6:56 - loss: 1.2320 - accuracy: 0.3813 1660/1678 [============================>.] - ETA: 6:34 - loss: 1.2323 - accuracy: 0.3812 1661/1678 [============================>.] - ETA: 6:12 - loss: 1.2322 - accuracy: 0.3812 1662/1678 [============================>.] - ETA: 5:50 - loss: 1.2323 - accuracy: 0.3813 1663/1678 [============================>.] - ETA: 5:28 - loss: 1.2321 - accuracy: 0.3812 1664/1678 [============================>.] - ETA: 5:07 - loss: 1.2322 - accuracy: 0.3813 1665/1678 [============================>.] - ETA: 4:45 - loss: 1.2325 - accuracy: 0.3813 1666/1678 [============================>.] - ETA: 4:23 - loss: 1.2321 - accuracy: 0.3812 1667/1678 [============================>.] - ETA: 4:01 - loss: 1.2321 - accuracy: 0.3813 1668/1678 [============================>.] - ETA: 3:39 - loss: 1.2318 - accuracy: 0.3811 1669/1678 [============================>.] - ETA: 3:17 - loss: 1.2318 - accuracy: 0.3810 1670/1678 [============================>.] - ETA: 2:55 - loss: 1.2317 - accuracy: 0.3810 1671/1678 [============================>.] - ETA: 2:33 - loss: 1.2318 - accuracy: 0.3811 1672/1678 [============================>.] - ETA: 2:11 - loss: 1.2313 - accuracy: 0.3809 1673/1678 [============================>.] - ETA: 1:49 - loss: 1.2312 - accuracy: 0.3808 1674/1678 [============================>.] - ETA: 1:27 - loss: 1.2310 - accuracy: 0.3809 1675/1678 [============================>.] - ETA: 1:05 - loss: 1.2313 - accuracy: 0.3809 1676/1678 [============================>.] - ETA: 43s - loss: 1.2316 - accuracy: 0.3809  1677/1678 [============================>.] - ETA: 21s - loss: 1.2316 - accuracy: 0.3810 Epoch 00005: val_loss improved from 1.38434 to 1.37143, saving model to binned256.hdf5  1678/1678 [==============================] - 37913s 23s/step - loss: 1.2316 - accuracy: 0.3810 - val_loss: 1.3714 - val_accuracy: 0.3390 Epoch 6/8 1/1678 [..............................] - ETA: 24:39 - loss: 1.4045 - accuracy: 0.2448 2/1678 [..............................] - ETA: 26:45 - loss: 1.4224 - accuracy: 0.3695 3/1678 [..............................] - ETA: 27:34 - loss: 1.1323 - accuracy: 0.2900 4/1678 [..............................] - ETA: 27:00 - loss: 1.1961 - accuracy: 0.3205 5/1678 [..............................] - ETA: 28:27 - loss: 1.2693 - accuracy: 0.3408 6/1678 [..............................] - ETA: 29:08 - loss: 1.2224 - accuracy: 0.3277 7/1678 [..............................] - ETA: 29:26 - loss: 1.2042 - accuracy: 0.3350 8/1678 [..............................] - ETA: 28:10 - loss: 1.1496 - accuracy: 0.3416 9/1678 [..............................] - ETA: 27:18 - loss: 1.1907 - accuracy: 0.3568 10/1678 [..............................] - ETA: 2:08:45 - loss: 1.1537 - accuracy: 0.3677 11/1678 [..............................] - ETA: 4:51:25 - loss: 1.1983 - accuracy: 0.3764 12/1678 [..............................] - ETA: 6:07:29 - loss: 1.2161 - accuracy: 0.3859 13/1678 [..............................] - ETA: 7:42:18 - loss: 1.2351 - accuracy: 0.3940 14/1678 [..............................] - ETA: 7:18:21 - loss: 1.2171 - accuracy: 0.3814 15/1678 [..............................] - ETA: 7:36:06 - loss: 1.2423 - accuracy: 0.3852 16/1678 [..............................] - ETA: 7:39:45 - loss: 1.2544 - accuracy: 0.3916 17/1678 [..............................] - ETA: 7:34:09 - loss: 1.2299 - accuracy: 0.3861 18/1678 [..............................] - ETA: 8:28:14 - loss: 1.2388 - accuracy: 0.3808 19/1678 [..............................] - ETA: 8:10:23 - loss: 1.2202 - accuracy: 0.3797 20/1678 [..............................] - ETA: 7:51:52 - loss: 1.2049 - accuracy: 0.3740 21/1678 [..............................] - ETA: 7:37:58 - loss: 1.1953 - accuracy: 0.3665 22/1678 [..............................] - ETA: 7:41:15 - loss: 1.2122 - accuracy: 0.3661 23/1678 [..............................] - ETA: 7:29:33 - loss: 1.2135 - accuracy: 0.3646 24/1678 [..............................] - ETA: 7:51:36 - loss: 1.2074 - accuracy: 0.3617 25/1678 [..............................] - ETA: 8:24:18 - loss: 1.2227 - accuracy: 0.3663 26/1678 [..............................] - ETA: 9:10:35 - loss: 1.2394 - accuracy: 0.3692 27/1678 [..............................] - ETA: 9:11:48 - loss: 1.2291 - accuracy: 0.3658 28/1678 [..............................] - ETA: 9:01:43 - loss: 1.2223 - accuracy: 0.3679 29/1678 [..............................] - ETA: 8:50:29 - loss: 1.2225 - accuracy: 0.3645 30/1678 [..............................] - ETA: 8:42:29 - loss: 1.2335 - accuracy: 0.3661 31/1678 [..............................] - ETA: 8:35:34 - loss: 1.2373 - accuracy: 0.3643 32/1678 [..............................] - ETA: 8:28:23 - loss: 1.2582 - accuracy: 0.3629 33/1678 [..............................] - ETA: 8:25:21 - loss: 1.2518 - accuracy: 0.3609 34/1678 [..............................] - ETA: 8:20:44 - loss: 1.2645 - accuracy: 0.3623 35/1678 [..............................] - ETA: 8:11:30 - loss: 1.2572 - accuracy: 0.3610 36/1678 [..............................] - ETA: 8:24:59 - loss: 1.2687 - accuracy: 0.3627 37/1678 [..............................] - ETA: 8:19:19 - loss: 1.2640 - accuracy: 0.3631 38/1678 [..............................] - ETA: 8:13:57 - loss: 1.2765 - accuracy: 0.3643 39/1678 [..............................] - ETA: 8:03:32 - loss: 1.2645 - accuracy: 0.3597 40/1678 [..............................] - ETA: 8:03:13 - loss: 1.2506 - accuracy: 0.3588 41/1678 [..............................] - ETA: 7:53:13 - loss: 1.2335 - accuracy: 0.3555 42/1678 [..............................] - ETA: 7:47:23 - loss: 1.2331 - accuracy: 0.3517 43/1678 [..............................] - ETA: 7:48:13 - loss: 1.2391 - accuracy: 0.3524 44/1678 [..............................] - ETA: 7:45:35 - loss: 1.2465 - accuracy: 0.3536 45/1678 [..............................] - ETA: 7:39:00 - loss: 1.2363 - accuracy: 0.3523 46/1678 [..............................] - ETA: 7:30:24 - loss: 1.2183 - accuracy: 0.3478 47/1678 [..............................] - ETA: 7:26:12 - loss: 1.2163 - accuracy: 0.3483 48/1678 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[>.............................] - ETA: 7:38:12 - loss: 1.2111 - accuracy: 0.3540 60/1678 [>.............................] - ETA: 7:39:19 - loss: 1.2022 - accuracy: 0.3547 61/1678 [>.............................] - ETA: 7:35:38 - loss: 1.2004 - accuracy: 0.3583 62/1678 [>.............................] - ETA: 8:02:28 - loss: 1.2061 - accuracy: 0.3601 63/1678 [>.............................] - ETA: 8:00:32 - loss: 1.2097 - accuracy: 0.3601 64/1678 [>.............................] - ETA: 7:54:13 - loss: 1.2018 - accuracy: 0.3568 65/1678 [>.............................] - ETA: 7:49:10 - loss: 1.1989 - accuracy: 0.3553 66/1678 [>.............................] - ETA: 7:43:21 - loss: 1.1899 - accuracy: 0.3537 67/1678 [>.............................] - ETA: 7:37:38 - loss: 1.1812 - accuracy: 0.3519 68/1678 [>.............................] - ETA: 7:35:20 - loss: 1.1870 - accuracy: 0.3524 69/1678 [>.............................] - ETA: 7:36:42 - loss: 1.1916 - accuracy: 0.3537 70/1678 [>.............................] - ETA: 7:43:37 - loss: 1.1951 - accuracy: 0.3561 71/1678 [>.............................] - ETA: 7:40:00 - loss: 1.1967 - accuracy: 0.3579 72/1678 [>.............................] - ETA: 7:35:10 - loss: 1.1950 - accuracy: 0.3564 73/1678 [>.............................] - ETA: 7:48:09 - loss: 1.1997 - accuracy: 0.3577 74/1678 [>.............................] - ETA: 8:15:28 - loss: 1.1972 - accuracy: 0.3626 75/1678 [>.............................] - ETA: 8:15:30 - loss: 1.1945 - accuracy: 0.3615 76/1678 [>.............................] - ETA: 8:13:15 - loss: 1.1914 - accuracy: 0.3621 77/1678 [>.............................] - ETA: 8:08:15 - loss: 1.1870 - accuracy: 0.3604 78/1678 [>.............................] - ETA: 8:03:11 - loss: 1.1863 - accuracy: 0.3584 79/1678 [>.............................] - ETA: 8:01:19 - loss: 1.1866 - accuracy: 0.3586 80/1678 [>.............................] - ETA: 7:59:20 - loss: 1.1887 - accuracy: 0.3579 81/1678 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[=>............................] - ETA: 8:14:22 - loss: 1.1945 - accuracy: 0.3621 115/1678 [=>............................] - ETA: 8:12:12 - loss: 1.1950 - accuracy: 0.3620 116/1678 [=>............................] - ETA: 8:24:58 - loss: 1.1960 - accuracy: 0.3641 117/1678 [=>............................] - ETA: 8:22:11 - loss: 1.1973 - accuracy: 0.3634 118/1678 [=>............................] - ETA: 8:22:04 - loss: 1.1945 - accuracy: 0.3640 119/1678 [=>............................] - ETA: 8:33:41 - loss: 1.1930 - accuracy: 0.3667 120/1678 [=>............................] - ETA: 8:30:34 - loss: 1.1963 - accuracy: 0.3663 121/1678 [=>............................] - ETA: 8:29:12 - loss: 1.1992 - accuracy: 0.3670 122/1678 [=>............................] - ETA: 8:28:48 - loss: 1.1963 - accuracy: 0.3667 123/1678 [=>............................] - ETA: 8:26:08 - loss: 1.1953 - accuracy: 0.3669 124/1678 [=>............................] - ETA: 8:22:17 - loss: 1.1913 - accuracy: 0.3647 125/1678 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[============================>.] - ETA: 19:58 - loss: 1.2227 - accuracy: 0.3818 1624/1678 [============================>.] - ETA: 19:36 - loss: 1.2227 - accuracy: 0.3818 1625/1678 [============================>.] - ETA: 19:15 - loss: 1.2228 - accuracy: 0.3819 1626/1678 [============================>.] - ETA: 18:53 - loss: 1.2230 - accuracy: 0.3819 1627/1678 [============================>.] - ETA: 18:32 - loss: 1.2229 - accuracy: 0.3821 1628/1678 [============================>.] - ETA: 18:10 - loss: 1.2230 - accuracy: 0.3820 1629/1678 [============================>.] - ETA: 17:48 - loss: 1.2229 - accuracy: 0.3820 1630/1678 [============================>.] - ETA: 17:26 - loss: 1.2230 - accuracy: 0.3820 1631/1678 [============================>.] - ETA: 17:04 - loss: 1.2233 - accuracy: 0.3821 1632/1678 [============================>.] - ETA: 16:43 - loss: 1.2235 - accuracy: 0.3820 1633/1678 [============================>.] - ETA: 16:20 - loss: 1.2230 - accuracy: 0.3819 1634/1678 [============================>.] - ETA: 15:59 - loss: 1.2230 - accuracy: 0.3820 1635/1678 [============================>.] - ETA: 15:37 - loss: 1.2231 - accuracy: 0.3821 1636/1678 [============================>.] - ETA: 15:16 - loss: 1.2232 - accuracy: 0.3822 1637/1678 [============================>.] - ETA: 14:54 - loss: 1.2234 - accuracy: 0.3822 1638/1678 [============================>.] - ETA: 14:33 - loss: 1.2236 - accuracy: 0.3823 1639/1678 [============================>.] - ETA: 14:11 - loss: 1.2235 - accuracy: 0.3822 1640/1678 [============================>.] - ETA: 13:50 - loss: 1.2234 - accuracy: 0.3824 1641/1678 [============================>.] - ETA: 13:28 - loss: 1.2233 - accuracy: 0.3823 1642/1678 [============================>.] - ETA: 13:06 - loss: 1.2236 - accuracy: 0.3823 1643/1678 [============================>.] - ETA: 12:44 - loss: 1.2238 - accuracy: 0.3823 1644/1678 [============================>.] - ETA: 12:22 - loss: 1.2240 - accuracy: 0.3824 1645/1678 [============================>.] - ETA: 12:00 - loss: 1.2236 - accuracy: 0.3823 1646/1678 [============================>.] - ETA: 11:39 - loss: 1.2237 - accuracy: 0.3824 1647/1678 [============================>.] - ETA: 11:17 - loss: 1.2237 - accuracy: 0.3823 1648/1678 [============================>.] - ETA: 10:55 - loss: 1.2241 - accuracy: 0.3823 1649/1678 [============================>.] - ETA: 10:34 - loss: 1.2243 - accuracy: 0.3823 1650/1678 [============================>.] - ETA: 10:12 - loss: 1.2241 - accuracy: 0.3823 1651/1678 [============================>.] - ETA: 9:50 - loss: 1.2241 - accuracy: 0.3823  1652/1678 [============================>.] - ETA: 9:28 - loss: 1.2242 - accuracy: 0.3823 1653/1678 [============================>.] - ETA: 9:06 - loss: 1.2242 - accuracy: 0.3824 1654/1678 [============================>.] - ETA: 8:44 - loss: 1.2241 - accuracy: 0.3825 1655/1678 [============================>.] - ETA: 8:22 - loss: 1.2238 - accuracy: 0.3824 1656/1678 [============================>.] - ETA: 8:00 - loss: 1.2237 - accuracy: 0.3823 1657/1678 [============================>.] - ETA: 7:38 - loss: 1.2237 - accuracy: 0.3823 1658/1678 [============================>.] - ETA: 7:16 - loss: 1.2235 - accuracy: 0.3822 1659/1678 [============================>.] - ETA: 6:54 - loss: 1.2236 - accuracy: 0.3823 1660/1678 [============================>.] - ETA: 6:32 - loss: 1.2238 - accuracy: 0.3824 1661/1678 [============================>.] - ETA: 6:10 - loss: 1.2234 - accuracy: 0.3825 1662/1678 [============================>.] - ETA: 5:49 - loss: 1.2236 - accuracy: 0.3825 1663/1678 [============================>.] - ETA: 5:27 - loss: 1.2233 - accuracy: 0.3825 1664/1678 [============================>.] - ETA: 5:06 - loss: 1.2236 - accuracy: 0.3825 1665/1678 [============================>.] - ETA: 4:44 - loss: 1.2237 - accuracy: 0.3826 1666/1678 [============================>.] - ETA: 4:22 - loss: 1.2239 - accuracy: 0.3826 1667/1678 [============================>.] - ETA: 4:00 - loss: 1.2238 - accuracy: 0.3826 1668/1678 [============================>.] - ETA: 3:38 - loss: 1.2237 - accuracy: 0.3826 1669/1678 [============================>.] - ETA: 3:16 - loss: 1.2236 - accuracy: 0.3827 1670/1678 [============================>.] - ETA: 2:54 - loss: 1.2236 - accuracy: 0.3828 1671/1678 [============================>.] - ETA: 2:33 - loss: 1.2238 - accuracy: 0.3829 1672/1678 [============================>.] - ETA: 2:11 - loss: 1.2238 - accuracy: 0.3829 1673/1678 [============================>.] - ETA: 1:49 - loss: 1.2236 - accuracy: 0.3829 1674/1678 [============================>.] - ETA: 1:27 - loss: 1.2237 - accuracy: 0.3830 1675/1678 [============================>.] - ETA: 1:05 - loss: 1.2238 - accuracy: 0.3831 1676/1678 [============================>.] - ETA: 43s - loss: 1.2235 - accuracy: 0.3832  1677/1678 [============================>.] - ETA: 21s - loss: 1.2236 - accuracy: 0.3831 Epoch 00006: val_loss did not improve from 1.37143  1678/1678 [==============================] - 37874s 23s/step - loss: 1.2235 - accuracy: 0.3833 - val_loss: 1.3759 - val_accuracy: 0.3422 Epoch 7/8 1/1678 [..............................] - ETA: 19:52 - loss: 1.3104 - accuracy: 0.2617 2/1678 [..............................] - ETA: 22:05 - loss: 1.1331 - accuracy: 0.4649 3/1678 [..............................] - ETA: 24:57 - loss: 1.0241 - accuracy: 0.3907 4/1678 [..............................] - ETA: 27:23 - loss: 1.2848 - accuracy: 0.3664 5/1678 [..............................] - ETA: 28:33 - loss: 1.2304 - accuracy: 0.3917 6/1678 [..............................] - ETA: 27:38 - loss: 1.2164 - accuracy: 0.3963 7/1678 [..............................] - ETA: 28:25 - loss: 1.1381 - accuracy: 0.3559 8/1678 [..............................] - ETA: 29:01 - loss: 1.1196 - accuracy: 0.3653 9/1678 [..............................] - ETA: 29:09 - loss: 1.1524 - accuracy: 0.3595 10/1678 [..............................] - ETA: 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accuracy: 0.3677 44/1678 [..............................] - ETA: 6:41:16 - loss: 1.1713 - accuracy: 0.3712 45/1678 [..............................] - ETA: 6:44:02 - loss: 1.1812 - accuracy: 0.3720 46/1678 [..............................] - ETA: 6:41:08 - loss: 1.1896 - accuracy: 0.3724 47/1678 [..............................] - ETA: 6:35:15 - loss: 1.1824 - accuracy: 0.3701 48/1678 [..............................] - ETA: 6:42:46 - loss: 1.1807 - accuracy: 0.3752 49/1678 [..............................] - ETA: 6:35:39 - loss: 1.1638 - accuracy: 0.3700 50/1678 [..............................] - ETA: 6:34:48 - loss: 1.1719 - accuracy: 0.3708 51/1678 [..............................] - ETA: 6:31:47 - loss: 1.1735 - accuracy: 0.3724 52/1678 [..............................] - ETA: 6:33:41 - loss: 1.1753 - accuracy: 0.3723 53/1678 [..............................] - ETA: 6:40:58 - loss: 1.1770 - accuracy: 0.3740 54/1678 [..............................] - ETA: 6:43:45 - loss: 1.1791 - accuracy: 0.3753 55/1678 [..............................] - ETA: 7:12:22 - loss: 1.1864 - accuracy: 0.3776 56/1678 [>.............................] - ETA: 7:05:44 - loss: 1.1759 - accuracy: 0.3733 57/1678 [>.............................] - ETA: 7:30:03 - loss: 1.1819 - accuracy: 0.3755 58/1678 [>.............................] - ETA: 7:30:57 - loss: 1.1890 - accuracy: 0.3761 59/1678 [>.............................] - ETA: 7:38:30 - loss: 1.1967 - accuracy: 0.3768 60/1678 [>.............................] - ETA: 7:45:57 - loss: 1.1889 - accuracy: 0.3786 61/1678 [>.............................] - ETA: 7:44:05 - loss: 1.1873 - accuracy: 0.3773 62/1678 [>.............................] - ETA: 7:40:22 - loss: 1.1862 - accuracy: 0.3752 63/1678 [>.............................] - ETA: 7:38:39 - loss: 1.1931 - accuracy: 0.3739 64/1678 [>.............................] - ETA: 7:47:01 - loss: 1.1954 - accuracy: 0.3760 65/1678 [>.............................] - ETA: 7:42:52 - loss: 1.1944 - accuracy: 0.3782 66/1678 [>.............................] - ETA: 7:57:30 - loss: 1.1971 - accuracy: 0.3791 67/1678 [>.............................] - ETA: 7:55:43 - loss: 1.1998 - accuracy: 0.3809 68/1678 [>.............................] - ETA: 7:54:42 - loss: 1.2023 - accuracy: 0.3821 69/1678 [>.............................] - ETA: 7:50:29 - loss: 1.2050 - accuracy: 0.3810 70/1678 [>.............................] - ETA: 7:47:07 - loss: 1.1993 - accuracy: 0.3797 71/1678 [>.............................] - ETA: 7:44:24 - loss: 1.2060 - accuracy: 0.3794 72/1678 [>.............................] - ETA: 7:40:14 - loss: 1.2019 - accuracy: 0.3786 73/1678 [>.............................] - ETA: 7:38:21 - loss: 1.2013 - accuracy: 0.3775 74/1678 [>.............................] - ETA: 7:35:00 - loss: 1.2024 - accuracy: 0.3746 75/1678 [>.............................] - ETA: 7:43:58 - loss: 1.2071 - accuracy: 0.3752 76/1678 [>.............................] - ETA: 7:49:16 - loss: 1.2035 - accuracy: 0.3791 77/1678 [>.............................] - ETA: 7:47:31 - loss: 1.2078 - accuracy: 0.3786 78/1678 [>.............................] - ETA: 7:42:43 - loss: 1.2028 - accuracy: 0.3769 79/1678 [>.............................] - ETA: 7:43:51 - loss: 1.2050 - accuracy: 0.3770 80/1678 [>.............................] - ETA: 7:46:30 - loss: 1.2081 - accuracy: 0.3780 81/1678 [>.............................] - ETA: 7:53:12 - loss: 1.2053 - accuracy: 0.3815 82/1678 [>.............................] - ETA: 7:48:01 - loss: 1.1959 - accuracy: 0.3786 83/1678 [>.............................] - ETA: 7:49:41 - loss: 1.1980 - accuracy: 0.3794 84/1678 [>.............................] - ETA: 7:54:02 - loss: 1.2001 - accuracy: 0.3788 85/1678 [>.............................] - ETA: 8:01:39 - loss: 1.2000 - accuracy: 0.3811 86/1678 [>.............................] - ETA: 8:01:13 - loss: 1.1996 - accuracy: 0.3835 87/1678 [>.............................] - ETA: 7:59:44 - loss: 1.1961 - accuracy: 0.3855 88/1678 [>.............................] - ETA: 7:55:47 - loss: 1.1964 - accuracy: 0.3849 89/1678 [>.............................] - ETA: 8:01:58 - loss: 1.1989 - accuracy: 0.3861 90/1678 [>.............................] - ETA: 7:58:09 - loss: 1.1986 - accuracy: 0.3849 91/1678 [>.............................] - ETA: 8:03:20 - loss: 1.1976 - accuracy: 0.3835 92/1678 [>.............................] - ETA: 7:58:45 - loss: 1.1930 - accuracy: 0.3810 93/1678 [>.............................] - ETA: 7:54:13 - loss: 1.1858 - accuracy: 0.3788 94/1678 [>.............................] - ETA: 7:56:27 - loss: 1.1816 - accuracy: 0.3786 95/1678 [>.............................] - ETA: 7:56:16 - loss: 1.1795 - accuracy: 0.3799 96/1678 [>.............................] - ETA: 7:53:40 - loss: 1.1825 - accuracy: 0.3808 97/1678 [>.............................] - ETA: 8:00:07 - loss: 1.1853 - accuracy: 0.3818 98/1678 [>.............................] - ETA: 8:07:14 - loss: 1.1879 - accuracy: 0.3833 99/1678 [>.............................] - ETA: 8:18:11 - loss: 1.1929 - accuracy: 0.3834 100/1678 [>.............................] - ETA: 8:20:24 - loss: 1.1855 - accuracy: 0.3856 101/1678 [>.............................] - ETA: 8:26:25 - loss: 1.1821 - accuracy: 0.3863 102/1678 [>.............................] - ETA: 8:38:21 - loss: 1.1901 - accuracy: 0.3853 103/1678 [>.............................] - ETA: 8:35:40 - loss: 1.1863 - accuracy: 0.3860 104/1678 [>.............................] - ETA: 8:35:21 - loss: 1.1873 - accuracy: 0.3873 105/1678 [>.............................] - ETA: 8:34:06 - loss: 1.1926 - accuracy: 0.3871 106/1678 [>.............................] - ETA: 8:33:58 - loss: 1.1945 - accuracy: 0.3882 107/1678 [>.............................] - ETA: 8:37:59 - loss: 1.2006 - accuracy: 0.3883 108/1678 [>.............................] - ETA: 8:38:15 - loss: 1.1965 - accuracy: 0.3883 109/1678 [>.............................] - ETA: 8:39:12 - loss: 1.1977 - accuracy: 0.3894 110/1678 [>.............................] - ETA: 8:41:45 - loss: 1.1963 - accuracy: 0.3917 111/1678 [>.............................] - ETA: 8:43:26 - loss: 1.2003 - accuracy: 0.3919 112/1678 [=>............................] - ETA: 8:47:11 - loss: 1.1991 - accuracy: 0.3905 113/1678 [=>............................] - ETA: 8:45:24 - loss: 1.1983 - accuracy: 0.3909 114/1678 [=>............................] - ETA: 8:45:03 - loss: 1.1999 - accuracy: 0.3919 115/1678 [=>............................] - ETA: 8:41:29 - loss: 1.1993 - accuracy: 0.3904 116/1678 [=>............................] - ETA: 8:38:14 - loss: 1.2005 - accuracy: 0.3902 117/1678 [=>............................] - ETA: 8:45:04 - loss: 1.2031 - accuracy: 0.3912 118/1678 [=>............................] - ETA: 8:43:44 - loss: 1.2031 - accuracy: 0.3926 119/1678 [=>............................] - ETA: 8:48:36 - loss: 1.2034 - accuracy: 0.3941 120/1678 [=>............................] - ETA: 8:47:26 - loss: 1.2042 - accuracy: 0.3935 121/1678 [=>............................] - ETA: 8:45:58 - loss: 1.2061 - accuracy: 0.3938 122/1678 [=>............................] - ETA: 8:42:01 - loss: 1.1983 - accuracy: 0.3926 123/1678 [=>............................] - ETA: 8:40:28 - loss: 1.1995 - accuracy: 0.3923 124/1678 [=>............................] - ETA: 8:37:53 - loss: 1.1998 - accuracy: 0.3918 125/1678 [=>............................] - ETA: 8:46:06 - loss: 1.2023 - accuracy: 0.3920 126/1678 [=>............................] - ETA: 8:44:02 - loss: 1.2061 - accuracy: 0.3921 127/1678 [=>............................] - ETA: 8:41:23 - loss: 1.2020 - accuracy: 0.3931 128/1678 [=>............................] - ETA: 8:38:06 - loss: 1.2024 - accuracy: 0.3916 129/1678 [=>............................] - ETA: 8:46:01 - loss: 1.2016 - accuracy: 0.3936 130/1678 [=>............................] - ETA: 8:43:31 - loss: 1.2042 - accuracy: 0.3936 131/1678 [=>............................] - ETA: 8:47:52 - loss: 1.2043 - accuracy: 0.3939 132/1678 [=>............................] - ETA: 8:46:34 - loss: 1.2067 - accuracy: 0.3942 133/1678 [=>............................] - ETA: 8:43:47 - loss: 1.2079 - accuracy: 0.3939 134/1678 [=>............................] - ETA: 8:40:38 - loss: 1.2078 - accuracy: 0.3926 135/1678 [=>............................] - ETA: 8:44:04 - loss: 1.2082 - accuracy: 0.3941 136/1678 [=>............................] - ETA: 8:46:14 - loss: 1.2084 - accuracy: 0.3948 137/1678 [=>............................] - ETA: 8:50:56 - loss: 1.2106 - accuracy: 0.3955 138/1678 [=>............................] - ETA: 8:51:53 - loss: 1.2093 - accuracy: 0.3957 139/1678 [=>............................] - ETA: 8:48:24 - loss: 1.2085 - accuracy: 0.3939 140/1678 [=>............................] - ETA: 8:44:52 - loss: 1.2037 - accuracy: 0.3924 141/1678 [=>............................] - ETA: 8:44:47 - loss: 1.2050 - accuracy: 0.3935 142/1678 [=>............................] - ETA: 8:41:31 - loss: 1.2027 - accuracy: 0.3923 143/1678 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[=>............................] - ETA: 8:41:26 - loss: 1.2089 - accuracy: 0.3957 155/1678 [=>............................] - ETA: 8:38:09 - loss: 1.2047 - accuracy: 0.3942 156/1678 [=>............................] - ETA: 8:35:17 - loss: 1.2031 - accuracy: 0.3932 157/1678 [=>............................] - ETA: 8:32:27 - loss: 1.2021 - accuracy: 0.3918 158/1678 [=>............................] - ETA: 8:31:17 - loss: 1.2037 - accuracy: 0.3923 159/1678 [=>............................] - ETA: 8:30:38 - loss: 1.2010 - accuracy: 0.3920 160/1678 [=>............................] - ETA: 8:28:45 - loss: 1.1999 - accuracy: 0.3917 161/1678 [=>............................] - ETA: 8:26:51 - loss: 1.2009 - accuracy: 0.3914 162/1678 [=>............................] - ETA: 8:24:10 - loss: 1.1991 - accuracy: 0.3904 163/1678 [=>............................] - ETA: 8:24:38 - loss: 1.2011 - accuracy: 0.3911 164/1678 [=>............................] - ETA: 8:21:53 - loss: 1.2013 - accuracy: 0.3898 165/1678 [=>............................] - ETA: 8:18:52 - loss: 1.1974 - accuracy: 0.3882 166/1678 [=>............................] - ETA: 8:17:27 - loss: 1.1988 - accuracy: 0.3884 167/1678 [=>............................] - ETA: 8:17:32 - loss: 1.1982 - accuracy: 0.3896 168/1678 [==>...........................] - ETA: 8:15:11 - loss: 1.1975 - accuracy: 0.3892 169/1678 [==>...........................] - ETA: 8:21:15 - loss: 1.1981 - accuracy: 0.3902 170/1678 [==>...........................] - ETA: 8:23:13 - loss: 1.1999 - accuracy: 0.3906 171/1678 [==>...........................] - ETA: 8:22:47 - loss: 1.2017 - accuracy: 0.3906 172/1678 [==>...........................] - ETA: 8:20:26 - loss: 1.2014 - accuracy: 0.3899 173/1678 [==>...........................] - ETA: 8:23:51 - loss: 1.1986 - accuracy: 0.3903 174/1678 [==>...........................] - ETA: 8:27:18 - loss: 1.1979 - accuracy: 0.3917 175/1678 [==>...........................] - ETA: 8:24:42 - loss: 1.1963 - accuracy: 0.3908 176/1678 [==>...........................] - ETA: 8:25:18 - loss: 1.1986 - accuracy: 0.3911 177/1678 [==>...........................] - ETA: 8:23:11 - loss: 1.1994 - accuracy: 0.3910 178/1678 [==>...........................] - ETA: 8:21:31 - loss: 1.2006 - accuracy: 0.3910 179/1678 [==>...........................] - ETA: 8:20:12 - loss: 1.2008 - accuracy: 0.3907 180/1678 [==>...........................] - ETA: 8:17:40 - loss: 1.1965 - accuracy: 0.3904 181/1678 [==>...........................] - ETA: 8:15:08 - loss: 1.1948 - accuracy: 0.3896 182/1678 [==>...........................] - ETA: 8:12:45 - loss: 1.1936 - accuracy: 0.3886 183/1678 [==>...........................] - ETA: 8:11:39 - loss: 1.1957 - accuracy: 0.3887 184/1678 [==>...........................] - ETA: 8:13:17 - loss: 1.1977 - accuracy: 0.3888 185/1678 [==>...........................] - ETA: 8:10:45 - loss: 1.1948 - accuracy: 0.3875 186/1678 [==>...........................] - ETA: 8:14:50 - loss: 1.1959 - accuracy: 0.3884 187/1678 [==>...........................] - ETA: 8:17:57 - loss: 1.1989 - accuracy: 0.3886 188/1678 [==>...........................] - ETA: 8:19:39 - loss: 1.1982 - accuracy: 0.3901 189/1678 [==>...........................] - ETA: 8:17:09 - loss: 1.1960 - accuracy: 0.3891 190/1678 [==>...........................] - ETA: 8:15:08 - loss: 1.1952 - accuracy: 0.3893 191/1678 [==>...........................] - ETA: 8:20:08 - loss: 1.1948 - accuracy: 0.3907 192/1678 [==>...........................] - ETA: 8:22:14 - loss: 1.1976 - accuracy: 0.3908 193/1678 [==>...........................] - ETA: 8:24:06 - loss: 1.1992 - accuracy: 0.3914 194/1678 [==>...........................] - ETA: 8:21:41 - loss: 1.1966 - accuracy: 0.3906 195/1678 [==>...........................] - ETA: 8:19:53 - loss: 1.1964 - accuracy: 0.3899 196/1678 [==>...........................] - ETA: 8:18:16 - loss: 1.1968 - accuracy: 0.3896 197/1678 [==>...........................] - ETA: 8:17:16 - loss: 1.1971 - accuracy: 0.3904 198/1678 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[==>...........................] - ETA: 8:15:02 - loss: 1.1946 - accuracy: 0.3939 221/1678 [==>...........................] - ETA: 8:13:23 - loss: 1.1955 - accuracy: 0.3934 222/1678 [==>...........................] - ETA: 8:12:08 - loss: 1.1977 - accuracy: 0.3934 223/1678 [==>...........................] - ETA: 8:10:54 - loss: 1.1978 - accuracy: 0.3939 224/1678 [===>..........................] - ETA: 8:09:40 - loss: 1.1990 - accuracy: 0.3941 225/1678 [===>..........................] - ETA: 8:07:44 - loss: 1.1977 - accuracy: 0.3936 226/1678 [===>..........................] - ETA: 8:06:28 - loss: 1.1978 - accuracy: 0.3934 227/1678 [===>..........................] - ETA: 8:05:25 - loss: 1.1971 - accuracy: 0.3929 228/1678 [===>..........................] - ETA: 8:06:29 - loss: 1.1959 - accuracy: 0.3932 229/1678 [===>..........................] - ETA: 8:05:01 - loss: 1.1959 - accuracy: 0.3925 230/1678 [===>..........................] - ETA: 8:03:42 - loss: 1.1957 - accuracy: 0.3926 231/1678 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[===>..........................] - ETA: 7:57:55 - loss: 1.2005 - accuracy: 0.3915 243/1678 [===>..........................] - ETA: 8:00:03 - loss: 1.2002 - accuracy: 0.3925 244/1678 [===>..........................] - ETA: 7:58:57 - loss: 1.2017 - accuracy: 0.3926 245/1678 [===>..........................] - ETA: 7:57:35 - loss: 1.2016 - accuracy: 0.3922 246/1678 [===>..........................] - ETA: 7:57:02 - loss: 1.2008 - accuracy: 0.3923 247/1678 [===>..........................] - ETA: 7:55:46 - loss: 1.2005 - accuracy: 0.3921 248/1678 [===>..........................] - ETA: 7:59:30 - loss: 1.2011 - accuracy: 0.3925 249/1678 [===>..........................] - ETA: 7:58:50 - loss: 1.2010 - accuracy: 0.3933 250/1678 [===>..........................] - ETA: 7:58:22 - loss: 1.1991 - accuracy: 0.3931 251/1678 [===>..........................] - ETA: 8:01:47 - loss: 1.1987 - accuracy: 0.3940 252/1678 [===>..........................] - ETA: 8:02:18 - loss: 1.2001 - accuracy: 0.3943 253/1678 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[============================>.] - ETA: 5:30 - loss: 1.2217 - accuracy: 0.3839 1664/1678 [============================>.] - ETA: 5:08 - loss: 1.2219 - accuracy: 0.3840 1665/1678 [============================>.] - ETA: 4:46 - loss: 1.2217 - accuracy: 0.3839 1666/1678 [============================>.] - ETA: 4:24 - loss: 1.2215 - accuracy: 0.3838 1667/1678 [============================>.] - ETA: 4:02 - loss: 1.2216 - accuracy: 0.3838 1668/1678 [============================>.] - ETA: 3:39 - loss: 1.2216 - accuracy: 0.3838 1669/1678 [============================>.] - ETA: 3:17 - loss: 1.2213 - accuracy: 0.3836 1670/1678 [============================>.] - ETA: 2:55 - loss: 1.2213 - accuracy: 0.3838 1671/1678 [============================>.] - ETA: 2:33 - loss: 1.2216 - accuracy: 0.3838 1672/1678 [============================>.] - ETA: 2:11 - loss: 1.2221 - accuracy: 0.3837 1673/1678 [============================>.] - ETA: 1:49 - loss: 1.2221 - accuracy: 0.3837 1674/1678 [============================>.] - ETA: 1:27 - loss: 1.2218 - accuracy: 0.3837 1675/1678 [============================>.] - ETA: 1:05 - loss: 1.2220 - accuracy: 0.3837 1676/1678 [============================>.] - ETA: 43s - loss: 1.2223 - accuracy: 0.3838  1677/1678 [============================>.] - ETA: 21s - loss: 1.2219 - accuracy: 0.3836 Epoch 00007: val_loss improved from 1.37143 to 1.35404, saving model to binned256.hdf5  1678/1678 [==============================] - 38135s 23s/step - loss: 1.2217 - accuracy: 0.3836 - val_loss: 1.3540 - val_accuracy: 0.3564 Epoch 8/8 1/1678 [..............................] - ETA: 18:50 - loss: 1.7681 - accuracy: 0.3858 2/1678 [..............................] - ETA: 19:30 - loss: 1.6388 - accuracy: 0.4078 3/1678 [..............................] - ETA: 22:21 - loss: 1.4992 - accuracy: 0.4880 4/1678 [..............................] - ETA: 23:46 - loss: 1.5127 - accuracy: 0.4805 5/1678 [..............................] - ETA: 26:28 - loss: 1.4429 - 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[============================>.] - ETA: 19:10 - loss: 1.2171 - accuracy: 0.3844 1626/1678 [============================>.] - ETA: 18:49 - loss: 1.2171 - accuracy: 0.3845 1627/1678 [============================>.] - ETA: 18:26 - loss: 1.2170 - accuracy: 0.3844 1628/1678 [============================>.] - ETA: 18:05 - loss: 1.2169 - accuracy: 0.3844 1629/1678 [============================>.] - ETA: 17:43 - loss: 1.2171 - accuracy: 0.3844 1630/1678 [============================>.] - ETA: 17:21 - loss: 1.2173 - accuracy: 0.3844 1631/1678 [============================>.] - ETA: 16:59 - loss: 1.2169 - accuracy: 0.3843 1632/1678 [============================>.] - ETA: 16:37 - loss: 1.2172 - accuracy: 0.3843 1633/1678 [============================>.] - ETA: 16:15 - loss: 1.2175 - accuracy: 0.3843 1634/1678 [============================>.] - ETA: 15:55 - loss: 1.2174 - accuracy: 0.3844 1635/1678 [============================>.] - ETA: 15:33 - loss: 1.2174 - accuracy: 0.3844 1636/1678 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[============================>.] - ETA: 11:12 - loss: 1.2156 - accuracy: 0.3840 1648/1678 [============================>.] - ETA: 10:50 - loss: 1.2153 - accuracy: 0.3839 1649/1678 [============================>.] - ETA: 10:28 - loss: 1.2155 - accuracy: 0.3839 1650/1678 [============================>.] - ETA: 10:07 - loss: 1.2157 - accuracy: 0.3840 1651/1678 [============================>.] - ETA: 9:45 - loss: 1.2158 - accuracy: 0.3841  1652/1678 [============================>.] - ETA: 9:23 - loss: 1.2159 - accuracy: 0.3841 1653/1678 [============================>.] - ETA: 9:01 - loss: 1.2158 - accuracy: 0.3841 1654/1678 [============================>.] - ETA: 8:40 - loss: 1.2159 - accuracy: 0.3842 1655/1678 [============================>.] - ETA: 8:18 - loss: 1.2156 - accuracy: 0.3842 1656/1678 [============================>.] - ETA: 7:57 - loss: 1.2153 - accuracy: 0.3841 1657/1678 [============================>.] - ETA: 7:35 - loss: 1.2153 - accuracy: 0.3841 1658/1678 [============================>.] - ETA: 7:13 - loss: 1.2154 - accuracy: 0.3841 1659/1678 [============================>.] - ETA: 6:52 - loss: 1.2156 - accuracy: 0.3841 1660/1678 [============================>.] - ETA: 6:30 - loss: 1.2156 - accuracy: 0.3843 1661/1678 [============================>.] - ETA: 6:08 - loss: 1.2158 - accuracy: 0.3843 1662/1678 [============================>.] - ETA: 5:46 - loss: 1.2153 - accuracy: 0.3841 1663/1678 [============================>.] - ETA: 5:24 - loss: 1.2156 - accuracy: 0.3841 1664/1678 [============================>.] - ETA: 5:03 - loss: 1.2155 - accuracy: 0.3843 1665/1678 [============================>.] - ETA: 4:41 - loss: 1.2155 - accuracy: 0.3843 1666/1678 [============================>.] - ETA: 4:20 - loss: 1.2154 - accuracy: 0.3842 1667/1678 [============================>.] - ETA: 3:58 - loss: 1.2155 - accuracy: 0.3843 1668/1678 [============================>.] - ETA: 3:36 - loss: 1.2154 - accuracy: 0.3843 1669/1678 [============================>.] - ETA: 3:15 - loss: 1.2156 - accuracy: 0.3843 1670/1678 [============================>.] - ETA: 2:53 - loss: 1.2154 - accuracy: 0.3842 1671/1678 [============================>.] - ETA: 2:31 - loss: 1.2153 - accuracy: 0.3843 1672/1678 [============================>.] - ETA: 2:09 - loss: 1.2153 - accuracy: 0.3843 1673/1678 [============================>.] - ETA: 1:48 - loss: 1.2155 - accuracy: 0.3843 1674/1678 [============================>.] - ETA: 1:26 - loss: 1.2157 - accuracy: 0.3844 1675/1678 [============================>.] - ETA: 1:04 - loss: 1.2155 - accuracy: 0.3843 1676/1678 [============================>.] - ETA: 43s - loss: 1.2154 - accuracy: 0.3844  1677/1678 [============================>.] - ETA: 21s - loss: 1.2156 - accuracy: 0.3845 Epoch 00008: val_loss did not improve from 1.35404  1678/1678 [==============================] - 37628s 22s/step - loss: 1.2157 - accuracy: 0.3846 - val_loss: 1.4230 - val_accuracy: 0.3314 2020-04-29 02:53:55.547321: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.555554: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.560466: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.564587: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.569779: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.573577: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.578969: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.582491: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.592178: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.595592: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.603729: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.607712: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.617560: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.620974: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.625924: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.629256: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.657747: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.661096: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.677131: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.680395: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.685925: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.689262: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.698933: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.702233: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.706841: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.710213: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.721099: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.724503: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.736577: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.739920: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.755412: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.758624: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.764200: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.767570: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.777360: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.780757: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.807556: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.812407: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.817052: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.820464: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.830308: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.836682: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.843229: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:55.846589: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.722671: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.726310: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.731966: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.735402: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.745007: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.748454: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.753260: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.756673: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.784060: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.787320: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.819328: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory 2020-04-29 02:53:56.822561: E tensorflow/core/platform/posix/subprocess.cc:208] Start cannot fork() child process: Cannot allocate memory Evaluate validation set.. Model params: L 512 num_blocks 128 width 64 expected_n_channels 57 1/100 [..............................] - ETA: 2:27:21 2/100 [..............................] - ETA: 1:14:02 3/100 [..............................] - ETA: 49:28  4/100 [>.............................] - ETA: 37:09 5/100 [>.............................] - ETA: 29:45 6/100 [>.............................] - ETA: 24:57 7/100 [=>............................] - ETA: 21:25 8/100 [=>............................] - ETA: 18:48 9/100 [=>............................] - ETA: 16:47 10/100 [==>...........................] - ETA: 15:12 11/100 [==>...........................] - ETA: 15:56 12/100 [==>...........................] - ETA: 20:21 13/100 [==>...........................] - ETA: 18:51 14/100 [===>..........................] - ETA: 19:23 15/100 [===>..........................] - ETA: 20:07 16/100 [===>..........................] - ETA: 20:45 17/100 [====>.........................] - ETA: 19:41 18/100 [====>.........................] - 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ETA: 43s 97/100 [============================>.] - ETA: 32s 98/100 [============================>.] - ETA: 21s 99/100 [============================>.] - ETA: 10sTraceback (most recent call last): File "../src/train.py", line 239, in eval_binned_predictions(model, valid_pdbs, length_dict, all_feat_paths, all_dist_paths, pad_size, flag_plots, False, LMAX, bins, expected_n_channels) File "/home/badri/PDNET/v4-pssmbugfix/deep-learning/src/lib/metrics.py", line 331, in eval_binned_predictions P = my_model.predict_generator(my_generator, max_queue_size=10, verbose=1) File "/home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py", line 1408, in predict_generator callbacks=callbacks) File "/home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_generator.py", line 301, in model_iteration aggregator.finalize() File "/home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_utils.py", line 346, in finalize result.finalize() File "/home/badri/.local/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_utils.py", line 184, in finalize self.results = np.concatenate(self.results, axis=0) File "<__array_function__ internals>", line 6, in concatenate MemoryError: Unable to allocate array with shape (100, 512, 512, 34) and data type float32