model_output.txt

Using TensorFlow backend.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
2019-03-15 10:25:35.963055: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2019-03-15 10:25:35.968772: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000125000 Hz
2019-03-15 10:25:35.969634: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x563c1d28a1e0 executing computations on platform Host. Devices:
2019-03-15 10:25:35.969668: I tensorflow/compiler/xla/service/service.cc:158]   StreamExecutor device (0): <undefined>, <undefined>
imgs and labels loaded.
compiling
summarizing
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            (None, 64, 64, 1)    0                                            
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 64, 64, 1)    4           input_1[0][0]                    
__________________________________________________________________________________________________
conv2d_1 (Conv2D)               (None, 64, 64, 64)   1600        batch_normalization_1[0][0]      
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 64, 64, 64)   256         conv2d_1[0][0]                   
__________________________________________________________________________________________________
activation_1 (Activation)       (None, 64, 64, 64)   0           batch_normalization_2[0][0]      
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D)  (None, 31, 31, 64)   0           activation_1[0][0]               
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 31, 31, 64)   256         max_pooling2d_1[0][0]            
__________________________________________________________________________________________________
activation_2 (Activation)       (None, 31, 31, 64)   0           batch_normalization_3[0][0]      
__________________________________________________________________________________________________
conv2d_2 (Conv2D)               (None, 31, 31, 64)   4096        activation_2[0][0]               
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 31, 31, 64)   256         conv2d_2[0][0]                   
__________________________________________________________________________________________________
activation_3 (Activation)       (None, 31, 31, 64)   0           batch_normalization_4[0][0]      
__________________________________________________________________________________________________
conv2d_3 (Conv2D)               (None, 31, 31, 64)   36864       activation_3[0][0]               
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 31, 31, 64)   256         conv2d_3[0][0]                   
__________________________________________________________________________________________________
activation_4 (Activation)       (None, 31, 31, 64)   0           batch_normalization_5[0][0]      
__________________________________________________________________________________________________
conv2d_4 (Conv2D)               (None, 31, 31, 256)  16384       activation_4[0][0]               
__________________________________________________________________________________________________
conv2d_5 (Conv2D)               (None, 31, 31, 256)  16384       activation_2[0][0]               
__________________________________________________________________________________________________
add_1 (Add)                     (None, 31, 31, 256)  0           conv2d_4[0][0]                   
                                                                 conv2d_5[0][0]                   
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 31, 31, 256)  1024        add_1[0][0]                      
__________________________________________________________________________________________________
activation_5 (Activation)       (None, 31, 31, 256)  0           batch_normalization_6[0][0]      
__________________________________________________________________________________________________
conv2d_6 (Conv2D)               (None, 31, 31, 64)   16384       activation_5[0][0]               
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 31, 31, 64)   256         conv2d_6[0][0]                   
__________________________________________________________________________________________________
activation_6 (Activation)       (None, 31, 31, 64)   0           batch_normalization_7[0][0]      
__________________________________________________________________________________________________
conv2d_7 (Conv2D)               (None, 31, 31, 64)   36864       activation_6[0][0]               
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 31, 31, 64)   256         conv2d_7[0][0]                   
__________________________________________________________________________________________________
activation_7 (Activation)       (None, 31, 31, 64)   0           batch_normalization_8[0][0]      
__________________________________________________________________________________________________
conv2d_8 (Conv2D)               (None, 31, 31, 256)  16384       activation_7[0][0]               
__________________________________________________________________________________________________
add_2 (Add)                     (None, 31, 31, 256)  0           conv2d_8[0][0]                   
                                                                 add_1[0][0]                      
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 31, 31, 256)  1024        add_2[0][0]                      
__________________________________________________________________________________________________
activation_8 (Activation)       (None, 31, 31, 256)  0           batch_normalization_9[0][0]      
__________________________________________________________________________________________________
conv2d_9 (Conv2D)               (None, 31, 31, 64)   16384       activation_8[0][0]               
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 31, 31, 64)   256         conv2d_9[0][0]                   
__________________________________________________________________________________________________
activation_9 (Activation)       (None, 31, 31, 64)   0           batch_normalization_10[0][0]     
__________________________________________________________________________________________________
conv2d_10 (Conv2D)              (None, 31, 31, 64)   36864       activation_9[0][0]               
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 31, 31, 64)   256         conv2d_10[0][0]                  
__________________________________________________________________________________________________
activation_10 (Activation)      (None, 31, 31, 64)   0           batch_normalization_11[0][0]     
__________________________________________________________________________________________________
conv2d_11 (Conv2D)              (None, 31, 31, 256)  16384       activation_10[0][0]              
__________________________________________________________________________________________________
add_3 (Add)                     (None, 31, 31, 256)  0           conv2d_11[0][0]                  
                                                                 add_2[0][0]                      
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 31, 31, 256)  1024        add_3[0][0]                      
__________________________________________________________________________________________________
activation_11 (Activation)      (None, 31, 31, 256)  0           batch_normalization_12[0][0]     
__________________________________________________________________________________________________
conv2d_12 (Conv2D)              (None, 31, 31, 128)  32768       activation_11[0][0]              
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 31, 31, 128)  512         conv2d_12[0][0]                  
__________________________________________________________________________________________________
activation_12 (Activation)      (None, 31, 31, 128)  0           batch_normalization_13[0][0]     
__________________________________________________________________________________________________
conv2d_13 (Conv2D)              (None, 16, 16, 128)  147456      activation_12[0][0]              
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 16, 16, 128)  512         conv2d_13[0][0]                  
__________________________________________________________________________________________________
activation_13 (Activation)      (None, 16, 16, 128)  0           batch_normalization_14[0][0]     
__________________________________________________________________________________________________
conv2d_14 (Conv2D)              (None, 16, 16, 512)  65536       activation_13[0][0]              
__________________________________________________________________________________________________
conv2d_15 (Conv2D)              (None, 16, 16, 512)  131072      activation_11[0][0]              
__________________________________________________________________________________________________
add_4 (Add)                     (None, 16, 16, 512)  0           conv2d_14[0][0]                  
                                                                 conv2d_15[0][0]                  
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 16, 16, 512)  2048        add_4[0][0]                      
__________________________________________________________________________________________________
activation_14 (Activation)      (None, 16, 16, 512)  0           batch_normalization_15[0][0]     
__________________________________________________________________________________________________
conv2d_16 (Conv2D)              (None, 16, 16, 128)  65536       activation_14[0][0]              
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 16, 16, 128)  512         conv2d_16[0][0]                  
__________________________________________________________________________________________________
activation_15 (Activation)      (None, 16, 16, 128)  0           batch_normalization_16[0][0]     
__________________________________________________________________________________________________
conv2d_17 (Conv2D)              (None, 16, 16, 128)  147456      activation_15[0][0]              
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 16, 16, 128)  512         conv2d_17[0][0]                  
__________________________________________________________________________________________________
activation_16 (Activation)      (None, 16, 16, 128)  0           batch_normalization_17[0][0]     
__________________________________________________________________________________________________
conv2d_18 (Conv2D)              (None, 16, 16, 512)  65536       activation_16[0][0]              
__________________________________________________________________________________________________
add_5 (Add)                     (None, 16, 16, 512)  0           conv2d_18[0][0]                  
                                                                 add_4[0][0]                      
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 16, 16, 512)  2048        add_5[0][0]                      
__________________________________________________________________________________________________
activation_17 (Activation)      (None, 16, 16, 512)  0           batch_normalization_18[0][0]     
__________________________________________________________________________________________________
conv2d_19 (Conv2D)              (None, 16, 16, 128)  65536       activation_17[0][0]              
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 16, 16, 128)  512         conv2d_19[0][0]                  
__________________________________________________________________________________________________
activation_18 (Activation)      (None, 16, 16, 128)  0           batch_normalization_19[0][0]     
__________________________________________________________________________________________________
conv2d_20 (Conv2D)              (None, 16, 16, 128)  147456      activation_18[0][0]              
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 16, 16, 128)  512         conv2d_20[0][0]                  
__________________________________________________________________________________________________
activation_19 (Activation)      (None, 16, 16, 128)  0           batch_normalization_20[0][0]     
__________________________________________________________________________________________________
conv2d_21 (Conv2D)              (None, 16, 16, 512)  65536       activation_19[0][0]              
__________________________________________________________________________________________________
add_6 (Add)                     (None, 16, 16, 512)  0           conv2d_21[0][0]                  
                                                                 add_5[0][0]                      
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 16, 16, 512)  2048        add_6[0][0]                      
__________________________________________________________________________________________________
activation_20 (Activation)      (None, 16, 16, 512)  0           batch_normalization_21[0][0]     
__________________________________________________________________________________________________
conv2d_22 (Conv2D)              (None, 16, 16, 128)  65536       activation_20[0][0]              
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 16, 16, 128)  512         conv2d_22[0][0]                  
__________________________________________________________________________________________________
activation_21 (Activation)      (None, 16, 16, 128)  0           batch_normalization_22[0][0]     
__________________________________________________________________________________________________
conv2d_23 (Conv2D)              (None, 16, 16, 128)  147456      activation_21[0][0]              
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 16, 16, 128)  512         conv2d_23[0][0]                  
__________________________________________________________________________________________________
activation_22 (Activation)      (None, 16, 16, 128)  0           batch_normalization_23[0][0]     
__________________________________________________________________________________________________
conv2d_24 (Conv2D)              (None, 16, 16, 512)  65536       activation_22[0][0]              
__________________________________________________________________________________________________
add_7 (Add)                     (None, 16, 16, 512)  0           conv2d_24[0][0]                  
                                                                 add_6[0][0]                      
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 16, 16, 512)  2048        add_7[0][0]                      
__________________________________________________________________________________________________
activation_23 (Activation)      (None, 16, 16, 512)  0           batch_normalization_24[0][0]     
__________________________________________________________________________________________________
conv2d_25 (Conv2D)              (None, 16, 16, 128)  65536       activation_23[0][0]              
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 16, 16, 128)  512         conv2d_25[0][0]                  
__________________________________________________________________________________________________
activation_24 (Activation)      (None, 16, 16, 128)  0           batch_normalization_25[0][0]     
__________________________________________________________________________________________________
conv2d_26 (Conv2D)              (None, 16, 16, 128)  147456      activation_24[0][0]              
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 16, 16, 128)  512         conv2d_26[0][0]                  
__________________________________________________________________________________________________
activation_25 (Activation)      (None, 16, 16, 128)  0           batch_normalization_26[0][0]     
__________________________________________________________________________________________________
conv2d_27 (Conv2D)              (None, 16, 16, 512)  65536       activation_25[0][0]              
__________________________________________________________________________________________________
add_8 (Add)                     (None, 16, 16, 512)  0           conv2d_27[0][0]                  
                                                                 add_7[0][0]                      
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 16, 16, 512)  2048        add_8[0][0]                      
__________________________________________________________________________________________________
activation_26 (Activation)      (None, 16, 16, 512)  0           batch_normalization_27[0][0]     
__________________________________________________________________________________________________
conv2d_28 (Conv2D)              (None, 16, 16, 128)  65536       activation_26[0][0]              
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 16, 16, 128)  512         conv2d_28[0][0]                  
__________________________________________________________________________________________________
activation_27 (Activation)      (None, 16, 16, 128)  0           batch_normalization_28[0][0]     
__________________________________________________________________________________________________
conv2d_29 (Conv2D)              (None, 16, 16, 128)  147456      activation_27[0][0]              
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 16, 16, 128)  512         conv2d_29[0][0]                  
__________________________________________________________________________________________________
activation_28 (Activation)      (None, 16, 16, 128)  0           batch_normalization_29[0][0]     
__________________________________________________________________________________________________
conv2d_30 (Conv2D)              (None, 16, 16, 512)  65536       activation_28[0][0]              
__________________________________________________________________________________________________
add_9 (Add)                     (None, 16, 16, 512)  0           conv2d_30[0][0]                  
                                                                 add_8[0][0]                      
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 16, 16, 512)  2048        add_9[0][0]                      
__________________________________________________________________________________________________
activation_29 (Activation)      (None, 16, 16, 512)  0           batch_normalization_30[0][0]     
__________________________________________________________________________________________________
conv2d_31 (Conv2D)              (None, 16, 16, 128)  65536       activation_29[0][0]              
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 16, 16, 128)  512         conv2d_31[0][0]                  
__________________________________________________________________________________________________
activation_30 (Activation)      (None, 16, 16, 128)  0           batch_normalization_31[0][0]     
__________________________________________________________________________________________________
conv2d_32 (Conv2D)              (None, 16, 16, 128)  147456      activation_30[0][0]              
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 16, 16, 128)  512         conv2d_32[0][0]                  
__________________________________________________________________________________________________
activation_31 (Activation)      (None, 16, 16, 128)  0           batch_normalization_32[0][0]     
__________________________________________________________________________________________________
conv2d_33 (Conv2D)              (None, 16, 16, 512)  65536       activation_31[0][0]              
__________________________________________________________________________________________________
add_10 (Add)                    (None, 16, 16, 512)  0           conv2d_33[0][0]                  
                                                                 add_9[0][0]                      
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 16, 16, 512)  2048        add_10[0][0]                     
__________________________________________________________________________________________________
activation_32 (Activation)      (None, 16, 16, 512)  0           batch_normalization_33[0][0]     
__________________________________________________________________________________________________
conv2d_34 (Conv2D)              (None, 16, 16, 128)  65536       activation_32[0][0]              
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 16, 16, 128)  512         conv2d_34[0][0]                  
__________________________________________________________________________________________________
activation_33 (Activation)      (None, 16, 16, 128)  0           batch_normalization_34[0][0]     
__________________________________________________________________________________________________
conv2d_35 (Conv2D)              (None, 16, 16, 128)  147456      activation_33[0][0]              
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 16, 16, 128)  512         conv2d_35[0][0]                  
__________________________________________________________________________________________________
activation_34 (Activation)      (None, 16, 16, 128)  0           batch_normalization_35[0][0]     
__________________________________________________________________________________________________
conv2d_36 (Conv2D)              (None, 16, 16, 512)  65536       activation_34[0][0]              
__________________________________________________________________________________________________
add_11 (Add)                    (None, 16, 16, 512)  0           conv2d_36[0][0]                  
                                                                 add_10[0][0]                     
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 16, 16, 512)  2048        add_11[0][0]                     
__________________________________________________________________________________________________
activation_35 (Activation)      (None, 16, 16, 512)  0           batch_normalization_36[0][0]     
__________________________________________________________________________________________________
conv2d_37 (Conv2D)              (None, 16, 16, 256)  131072      activation_35[0][0]              
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 16, 16, 256)  1024        conv2d_37[0][0]                  
__________________________________________________________________________________________________
activation_36 (Activation)      (None, 16, 16, 256)  0           batch_normalization_37[0][0]     
__________________________________________________________________________________________________
conv2d_38 (Conv2D)              (None, 8, 8, 256)    589824      activation_36[0][0]              
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 8, 8, 256)    1024        conv2d_38[0][0]                  
__________________________________________________________________________________________________
activation_37 (Activation)      (None, 8, 8, 256)    0           batch_normalization_38[0][0]     
__________________________________________________________________________________________________
conv2d_39 (Conv2D)              (None, 8, 8, 1024)   262144      activation_37[0][0]              
__________________________________________________________________________________________________
conv2d_40 (Conv2D)              (None, 8, 8, 1024)   524288      activation_35[0][0]              
__________________________________________________________________________________________________
add_12 (Add)                    (None, 8, 8, 1024)   0           conv2d_39[0][0]                  
                                                                 conv2d_40[0][0]                  
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 8, 8, 1024)   4096        add_12[0][0]                     
__________________________________________________________________________________________________
activation_38 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_39[0][0]     
__________________________________________________________________________________________________
conv2d_41 (Conv2D)              (None, 8, 8, 256)    262144      activation_38[0][0]              
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 8, 8, 256)    1024        conv2d_41[0][0]                  
__________________________________________________________________________________________________
activation_39 (Activation)      (None, 8, 8, 256)    0           batch_normalization_40[0][0]     
__________________________________________________________________________________________________
conv2d_42 (Conv2D)              (None, 8, 8, 256)    589824      activation_39[0][0]              
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 8, 8, 256)    1024        conv2d_42[0][0]                  
__________________________________________________________________________________________________
activation_40 (Activation)      (None, 8, 8, 256)    0           batch_normalization_41[0][0]     
__________________________________________________________________________________________________
conv2d_43 (Conv2D)              (None, 8, 8, 1024)   262144      activation_40[0][0]              
__________________________________________________________________________________________________
add_13 (Add)                    (None, 8, 8, 1024)   0           conv2d_43[0][0]                  
                                                                 add_12[0][0]                     
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 8, 8, 1024)   4096        add_13[0][0]                     
__________________________________________________________________________________________________
activation_41 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_42[0][0]     
__________________________________________________________________________________________________
conv2d_44 (Conv2D)              (None, 8, 8, 256)    262144      activation_41[0][0]              
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 8, 8, 256)    1024        conv2d_44[0][0]                  
__________________________________________________________________________________________________
activation_42 (Activation)      (None, 8, 8, 256)    0           batch_normalization_43[0][0]     
__________________________________________________________________________________________________
conv2d_45 (Conv2D)              (None, 8, 8, 256)    589824      activation_42[0][0]              
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 8, 8, 256)    1024        conv2d_45[0][0]                  
__________________________________________________________________________________________________
activation_43 (Activation)      (None, 8, 8, 256)    0           batch_normalization_44[0][0]     
__________________________________________________________________________________________________
conv2d_46 (Conv2D)              (None, 8, 8, 1024)   262144      activation_43[0][0]              
__________________________________________________________________________________________________
add_14 (Add)                    (None, 8, 8, 1024)   0           conv2d_46[0][0]                  
                                                                 add_13[0][0]                     
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 8, 8, 1024)   4096        add_14[0][0]                     
__________________________________________________________________________________________________
activation_44 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_45[0][0]     
__________________________________________________________________________________________________
conv2d_47 (Conv2D)              (None, 8, 8, 256)    262144      activation_44[0][0]              
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 8, 8, 256)    1024        conv2d_47[0][0]                  
__________________________________________________________________________________________________
activation_45 (Activation)      (None, 8, 8, 256)    0           batch_normalization_46[0][0]     
__________________________________________________________________________________________________
conv2d_48 (Conv2D)              (None, 8, 8, 256)    589824      activation_45[0][0]              
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 8, 8, 256)    1024        conv2d_48[0][0]                  
__________________________________________________________________________________________________
activation_46 (Activation)      (None, 8, 8, 256)    0           batch_normalization_47[0][0]     
__________________________________________________________________________________________________
conv2d_49 (Conv2D)              (None, 8, 8, 1024)   262144      activation_46[0][0]              
__________________________________________________________________________________________________
add_15 (Add)                    (None, 8, 8, 1024)   0           conv2d_49[0][0]                  
                                                                 add_14[0][0]                     
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 8, 8, 1024)   4096        add_15[0][0]                     
__________________________________________________________________________________________________
activation_47 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_48[0][0]     
__________________________________________________________________________________________________
conv2d_50 (Conv2D)              (None, 8, 8, 256)    262144      activation_47[0][0]              
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 8, 8, 256)    1024        conv2d_50[0][0]                  
__________________________________________________________________________________________________
activation_48 (Activation)      (None, 8, 8, 256)    0           batch_normalization_49[0][0]     
__________________________________________________________________________________________________
conv2d_51 (Conv2D)              (None, 8, 8, 256)    589824      activation_48[0][0]              
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 8, 8, 256)    1024        conv2d_51[0][0]                  
__________________________________________________________________________________________________
activation_49 (Activation)      (None, 8, 8, 256)    0           batch_normalization_50[0][0]     
__________________________________________________________________________________________________
conv2d_52 (Conv2D)              (None, 8, 8, 1024)   262144      activation_49[0][0]              
__________________________________________________________________________________________________
add_16 (Add)                    (None, 8, 8, 1024)   0           conv2d_52[0][0]                  
                                                                 add_15[0][0]                     
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 8, 8, 1024)   4096        add_16[0][0]                     
__________________________________________________________________________________________________
activation_50 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_51[0][0]     
__________________________________________________________________________________________________
conv2d_53 (Conv2D)              (None, 8, 8, 256)    262144      activation_50[0][0]              
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 8, 8, 256)    1024        conv2d_53[0][0]                  
__________________________________________________________________________________________________
activation_51 (Activation)      (None, 8, 8, 256)    0           batch_normalization_52[0][0]     
__________________________________________________________________________________________________
conv2d_54 (Conv2D)              (None, 8, 8, 256)    589824      activation_51[0][0]              
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 8, 8, 256)    1024        conv2d_54[0][0]                  
__________________________________________________________________________________________________
activation_52 (Activation)      (None, 8, 8, 256)    0           batch_normalization_53[0][0]     
__________________________________________________________________________________________________
conv2d_55 (Conv2D)              (None, 8, 8, 1024)   262144      activation_52[0][0]              
__________________________________________________________________________________________________
add_17 (Add)                    (None, 8, 8, 1024)   0           conv2d_55[0][0]                  
                                                                 add_16[0][0]                     
__________________________________________________________________________________________________
batch_normalization_54 (BatchNo (None, 8, 8, 1024)   4096        add_17[0][0]                     
__________________________________________________________________________________________________
activation_53 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_54[0][0]     
__________________________________________________________________________________________________
conv2d_56 (Conv2D)              (None, 8, 8, 512)    524288      activation_53[0][0]              
__________________________________________________________________________________________________
batch_normalization_55 (BatchNo (None, 8, 8, 512)    2048        conv2d_56[0][0]                  
__________________________________________________________________________________________________
activation_54 (Activation)      (None, 8, 8, 512)    0           batch_normalization_55[0][0]     
__________________________________________________________________________________________________
conv2d_57 (Conv2D)              (None, 4, 4, 512)    2359296     activation_54[0][0]              
__________________________________________________________________________________________________
batch_normalization_56 (BatchNo (None, 4, 4, 512)    2048        conv2d_57[0][0]                  
__________________________________________________________________________________________________
activation_55 (Activation)      (None, 4, 4, 512)    0           batch_normalization_56[0][0]     
__________________________________________________________________________________________________
conv2d_58 (Conv2D)              (None, 4, 4, 2048)   1048576     activation_55[0][0]              
__________________________________________________________________________________________________
conv2d_59 (Conv2D)              (None, 4, 4, 2048)   2097152     activation_53[0][0]              
__________________________________________________________________________________________________
add_18 (Add)                    (None, 4, 4, 2048)   0           conv2d_58[0][0]                  
                                                                 conv2d_59[0][0]                  
__________________________________________________________________________________________________
batch_normalization_57 (BatchNo (None, 4, 4, 2048)   8192        add_18[0][0]                     
__________________________________________________________________________________________________
activation_56 (Activation)      (None, 4, 4, 2048)   0           batch_normalization_57[0][0]     
__________________________________________________________________________________________________
conv2d_60 (Conv2D)              (None, 4, 4, 512)    1048576     activation_56[0][0]              
__________________________________________________________________________________________________
batch_normalization_58 (BatchNo (None, 4, 4, 512)    2048        conv2d_60[0][0]                  
__________________________________________________________________________________________________
activation_57 (Activation)      (None, 4, 4, 512)    0           batch_normalization_58[0][0]     
__________________________________________________________________________________________________
conv2d_61 (Conv2D)              (None, 4, 4, 512)    2359296     activation_57[0][0]              
__________________________________________________________________________________________________
batch_normalization_59 (BatchNo (None, 4, 4, 512)    2048        conv2d_61[0][0]                  
__________________________________________________________________________________________________WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.

activation_58 (Activation)      (None, 4, 4, 512)    0           batch_normalization_59[0][0]     
__________________________________________________________________________________________________
conv2d_62 (Conv2D)              (None, 4, 4, 2048)   1048576     activation_58[0][0]              
__________________________________________________________________________________________________
add_19 (Add)                    (None, 4, 4, 2048)   0           conv2d_62[0][0]                  
                                                                 add_18[0][0]                     
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 4, 4, 2048)   8192        add_19[0][0]                     
__________________________________________________________________________________________________
activation_59 (Activation)      (None, 4, 4, 2048)   0           batch_normalization_60[0][0]     
__________________________________________________________________________________________________
conv2d_63 (Conv2D)              (None, 4, 4, 512)    1048576     activation_59[0][0]              
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 4, 4, 512)    2048        conv2d_63[0][0]                  
__________________________________________________________________________________________________
activation_60 (Activation)      (None, 4, 4, 512)    0           batch_normalization_61[0][0]     
__________________________________________________________________________________________________
conv2d_64 (Conv2D)              (None, 4, 4, 512)    2359296     activation_60[0][0]              
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 4, 4, 512)    2048        conv2d_64[0][0]                  
__________________________________________________________________________________________________
activation_61 (Activation)      (None, 4, 4, 512)    0           batch_normalization_62[0][0]     
__________________________________________________________________________________________________
conv2d_65 (Conv2D)              (None, 4, 4, 2048)   1048576     activation_61[0][0]              
__________________________________________________________________________________________________
add_20 (Add)                    (None, 4, 4, 2048)   0           conv2d_65[0][0]                  
                                                                 add_19[0][0]                     
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 4, 4, 2048)   8192        add_20[0][0]                     
__________________________________________________________________________________________________
activation_62 (Activation)      (None, 4, 4, 2048)   0           batch_normalization_63[0][0]     
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 2, 2, 2048)   0           activation_62[0][0]              
__________________________________________________________________________________________________
flatten_1 (Flatten)             (None, 8192)         0           average_pooling2d_1[0][0]        
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, 3832)         31395576    flatten_1[0][0]                  
__________________________________________________________________________________________________
activation_63 (Activation)      (None, 3832)         0           dense_1[0][0]                    
==================================================================================================
Total params: 56,060,220
Trainable params: 56,008,506
Non-trainable params: 51,714
__________________________________________________________________________________________________
Train on 105377 samples, validate on 11709 samples
Epoch 1/15

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105377/105377 [==============================] - 12664s 120ms/step - loss: 10.5506 - categorical_accuracy: 0.0026 - val_loss: 12.0025 - val_categorical_accuracy: 0.0000e+00
Epoch 2/15

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105377/105377 [==============================] - 12717s 121ms/step - loss: 10.1262 - categorical_accuracy: 0.0187 - val_loss: 12.7326 - val_categorical_accuracy: 0.0000e+00
Epoch 3/15

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105377/105377 [==============================] - 12799s 121ms/step - loss: 9.7107 - categorical_accuracy: 0.0582 - val_loss: 12.6296 - val_categorical_accuracy: 0.0000e+00
Epoch 4/15

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104960/105377 [============================>.] - ETA: 49s - loss: 9.2527 - categorical_accuracy: 0.1120 
105216/105377 [============================>.] - ETA: 19s - loss: 9.2522 - categorical_accuracy: 0.1121
105377/105377 [==============================] - 12884s 122ms/step - loss: 9.2524 - categorical_accuracy: 0.1120 - val_loss: 13.2672 - val_categorical_accuracy: 0.0000e+00
Epoch 5/15

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105377/105377 [==============================] - 12833s 122ms/step - loss: 8.8109 - categorical_accuracy: 0.1588 - val_loss: 13.0280 - val_categorical_accuracy: 0.0000e+00
Epoch 6/15

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105377/105377 [==============================] - 12783s 121ms/step - loss: 8.4178 - categorical_accuracy: 0.1984 - val_loss: 13.3886 - val_categorical_accuracy: 0.0000e+00
Epoch 7/15

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105377/105377 [==============================] - 12789s 121ms/step - loss: 8.0647 - categorical_accuracy: 0.2309 - val_loss: 14.0531 - val_categorical_accuracy: 0.0000e+00
Epoch 8/15

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105377/105377 [==============================] - 12799s 121ms/step - loss: 7.7443 - categorical_accuracy: 0.2596 - val_loss: 14.0597 - val_categorical_accuracy: 0.0000e+00
Epoch 9/15

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105377/105377 [==============================] - 12758s 121ms/step - loss: 7.4505 - categorical_accuracy: 0.2863 - val_loss: 14.4492 - val_categorical_accuracy: 0.0000e+00
Epoch 10/15

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105377/105377 [==============================] - 12784s 121ms/step - loss: 7.1760 - categorical_accuracy: 0.3106 - val_loss: 14.8089 - val_categorical_accuracy: 0.0000e+00
Epoch 11/15

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105377/105377 [==============================] - 12739s 121ms/step - loss: 6.9184 - categorical_accuracy: 0.3374 - val_loss: 14.9150 - val_categorical_accuracy: 0.0000e+00
Epoch 12/15

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105377/105377 [==============================] - 12736s 121ms/step - loss: 6.6740 - categorical_accuracy: 0.3641 - val_loss: 15.0609 - val_categorical_accuracy: 0.0000e+00
Epoch 13/15

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105377/105377 [==============================] - 12711s 121ms/step - loss: 6.4398 - categorical_accuracy: 0.3928 - val_loss: 15.0265 - val_categorical_accuracy: 0.0000e+00
Epoch 14/15

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105377/105377 [==============================] - 12725s 121ms/step - loss: 6.2150 - categorical_accuracy: 0.4232 - val_loss: 15.2909 - val_categorical_accuracy: 0.0000e+00
Epoch 15/15

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105377/105377 [==============================] - 12781s 121ms/step - loss: 5.9961 - categorical_accuracy: 0.4547 - val_loss: 15.6157 - val_categorical_accuracy: 0.0000e+00

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13010/13010 [==============================] - 302s 23ms/step
loss:  15.48076738567191
accuracy:  0.0