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senet50_layers.txt
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senet50_layers.txt
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__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 224, 224, 3) 0
__________________________________________________________________________________________________
conv1/7x7_s2 (Conv2D) (None, 112, 112, 64) 9408 input_1[0][0]
__________________________________________________________________________________________________
conv1/7x7_s2/bn (BatchNormaliza (None, 112, 112, 64) 256 conv1/7x7_s2[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 112, 112, 64) 0 conv1/7x7_s2/bn[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 55, 55, 64) 0 activation_1[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_reduce (Conv2D) (None, 55, 55, 64) 4096 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_reduce/bn (BatchNor (None, 55, 55, 64) 256 conv2_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 55, 55, 64) 0 conv2_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv2_1_3x3 (Conv2D) (None, 55, 55, 64) 36864 activation_2[0][0]
__________________________________________________________________________________________________
conv2_1_3x3/bn (BatchNormalizat (None, 55, 55, 64) 256 conv2_1_3x3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 55, 55, 64) 0 conv2_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_increase (Conv2D) (None, 55, 55, 256) 16384 activation_3[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_increase/bn (BatchN (None, 55, 55, 256) 1024 conv2_1_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_1 (Glo (None, 256) 0 conv2_1_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_1 (Reshape) (None, 1, 1, 256) 0 global_average_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_down (Conv2D) (None, 1, 1, 16) 4112 reshape_1[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 1, 1, 16) 0 conv2_1_1x1_down[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_up (Conv2D) (None, 1, 1, 256) 4352 activation_4[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 1, 1, 256) 0 conv2_1_1x1_up[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_proj (Conv2D) (None, 55, 55, 256) 16384 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
multiply_1 (Multiply) (None, 55, 55, 256) 0 conv2_1_1x1_increase/bn[0][0]
activation_5[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_proj/bn (BatchNorma (None, 55, 55, 256) 1024 conv2_1_1x1_proj[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 55, 55, 256) 0 multiply_1[0][0]
conv2_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 55, 55, 256) 0 add_1[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_reduce (Conv2D) (None, 55, 55, 64) 16384 activation_6[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_reduce/bn (BatchNor (None, 55, 55, 64) 256 conv2_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 55, 55, 64) 0 conv2_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv2_2_3x3 (Conv2D) (None, 55, 55, 64) 36864 activation_7[0][0]
__________________________________________________________________________________________________
conv2_2_3x3/bn (BatchNormalizat (None, 55, 55, 64) 256 conv2_2_3x3[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 55, 55, 64) 0 conv2_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_increase (Conv2D) (None, 55, 55, 256) 16384 activation_8[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_increase/bn (BatchN (None, 55, 55, 256) 1024 conv2_2_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_2 (Glo (None, 256) 0 conv2_2_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_2 (Reshape) (None, 1, 1, 256) 0 global_average_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_down (Conv2D) (None, 1, 1, 16) 4112 reshape_2[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 1, 1, 16) 0 conv2_2_1x1_down[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_up (Conv2D) (None, 1, 1, 256) 4352 activation_9[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 1, 1, 256) 0 conv2_2_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_2 (Multiply) (None, 55, 55, 256) 0 conv2_2_1x1_increase/bn[0][0]
activation_10[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 55, 55, 256) 0 multiply_2[0][0]
activation_6[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 55, 55, 256) 0 add_2[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_reduce (Conv2D) (None, 55, 55, 64) 16384 activation_11[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_reduce/bn (BatchNor (None, 55, 55, 64) 256 conv2_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 55, 55, 64) 0 conv2_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv2_3_3x3 (Conv2D) (None, 55, 55, 64) 36864 activation_12[0][0]
__________________________________________________________________________________________________
conv2_3_3x3/bn (BatchNormalizat (None, 55, 55, 64) 256 conv2_3_3x3[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 55, 55, 64) 0 conv2_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_increase (Conv2D) (None, 55, 55, 256) 16384 activation_13[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_increase/bn (BatchN (None, 55, 55, 256) 1024 conv2_3_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_3 (Glo (None, 256) 0 conv2_3_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_3 (Reshape) (None, 1, 1, 256) 0 global_average_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_down (Conv2D) (None, 1, 1, 16) 4112 reshape_3[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 1, 1, 16) 0 conv2_3_1x1_down[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_up (Conv2D) (None, 1, 1, 256) 4352 activation_14[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 1, 1, 256) 0 conv2_3_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_3 (Multiply) (None, 55, 55, 256) 0 conv2_3_1x1_increase/bn[0][0]
activation_15[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 55, 55, 256) 0 multiply_3[0][0]
activation_11[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 55, 55, 256) 0 add_3[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_reduce (Conv2D) (None, 28, 28, 128) 32768 activation_16[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 28, 28, 128) 0 conv3_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_1_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_17[0][0]
__________________________________________________________________________________________________
conv3_1_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_1_3x3[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 28, 28, 128) 0 conv3_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_18[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_1_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_4 (Glo (None, 512) 0 conv3_1_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_4 (Reshape) (None, 1, 1, 512) 0 global_average_pooling2d_4[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_down (Conv2D) (None, 1, 1, 32) 16416 reshape_4[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 1, 1, 32) 0 conv3_1_1x1_down[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_up (Conv2D) (None, 1, 1, 512) 16896 activation_19[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 1, 1, 512) 0 conv3_1_1x1_up[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_proj (Conv2D) (None, 28, 28, 512) 131072 activation_16[0][0]
__________________________________________________________________________________________________
multiply_4 (Multiply) (None, 28, 28, 512) 0 conv3_1_1x1_increase/bn[0][0]
activation_20[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_proj/bn (BatchNorma (None, 28, 28, 512) 2048 conv3_1_1x1_proj[0][0]
__________________________________________________________________________________________________
add_4 (Add) (None, 28, 28, 512) 0 multiply_4[0][0]
conv3_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 28, 28, 512) 0 add_4[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_reduce (Conv2D) (None, 28, 28, 128) 65536 activation_21[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 28, 28, 128) 0 conv3_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_2_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_22[0][0]
__________________________________________________________________________________________________
conv3_2_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_2_3x3[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 28, 28, 128) 0 conv3_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_23[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_2_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_5 (Glo (None, 512) 0 conv3_2_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_5 (Reshape) (None, 1, 1, 512) 0 global_average_pooling2d_5[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_down (Conv2D) (None, 1, 1, 32) 16416 reshape_5[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 1, 1, 32) 0 conv3_2_1x1_down[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_up (Conv2D) (None, 1, 1, 512) 16896 activation_24[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 1, 1, 512) 0 conv3_2_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_5 (Multiply) (None, 28, 28, 512) 0 conv3_2_1x1_increase/bn[0][0]
activation_25[0][0]
__________________________________________________________________________________________________
add_5 (Add) (None, 28, 28, 512) 0 multiply_5[0][0]
activation_21[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 28, 28, 512) 0 add_5[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_reduce (Conv2D) (None, 28, 28, 128) 65536 activation_26[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 28, 28, 128) 0 conv3_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_3_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_27[0][0]
__________________________________________________________________________________________________
conv3_3_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_3_3x3[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 28, 28, 128) 0 conv3_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_28[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_3_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_6 (Glo (None, 512) 0 conv3_3_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_6 (Reshape) (None, 1, 1, 512) 0 global_average_pooling2d_6[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_down (Conv2D) (None, 1, 1, 32) 16416 reshape_6[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 1, 1, 32) 0 conv3_3_1x1_down[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_up (Conv2D) (None, 1, 1, 512) 16896 activation_29[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 1, 1, 512) 0 conv3_3_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_6 (Multiply) (None, 28, 28, 512) 0 conv3_3_1x1_increase/bn[0][0]
activation_30[0][0]
__________________________________________________________________________________________________
add_6 (Add) (None, 28, 28, 512) 0 multiply_6[0][0]
activation_26[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 28, 28, 512) 0 add_6[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_reduce (Conv2D) (None, 28, 28, 128) 65536 activation_31[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_4_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 28, 28, 128) 0 conv3_4_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_4_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_32[0][0]
__________________________________________________________________________________________________
conv3_4_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_4_3x3[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 28, 28, 128) 0 conv3_4_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_33[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_4_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_7 (Glo (None, 512) 0 conv3_4_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_7 (Reshape) (None, 1, 1, 512) 0 global_average_pooling2d_7[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_down (Conv2D) (None, 1, 1, 32) 16416 reshape_7[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 1, 1, 32) 0 conv3_4_1x1_down[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_up (Conv2D) (None, 1, 1, 512) 16896 activation_34[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 1, 1, 512) 0 conv3_4_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_7 (Multiply) (None, 28, 28, 512) 0 conv3_4_1x1_increase/bn[0][0]
activation_35[0][0]
__________________________________________________________________________________________________
add_7 (Add) (None, 28, 28, 512) 0 multiply_7[0][0]
activation_31[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 28, 28, 512) 0 add_7[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_reduce (Conv2D) (None, 14, 14, 256) 131072 activation_36[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 14, 14, 256) 0 conv4_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_1_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_37[0][0]
__________________________________________________________________________________________________
conv4_1_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_1_3x3[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 14, 14, 256) 0 conv4_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_38[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_1_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_8 (Glo (None, 1024) 0 conv4_1_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_8 (Reshape) (None, 1, 1, 1024) 0 global_average_pooling2d_8[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_down (Conv2D) (None, 1, 1, 64) 65600 reshape_8[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 1, 1, 64) 0 conv4_1_1x1_down[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_up (Conv2D) (None, 1, 1, 1024) 66560 activation_39[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 1, 1, 1024) 0 conv4_1_1x1_up[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_proj (Conv2D) (None, 14, 14, 1024) 524288 activation_36[0][0]
__________________________________________________________________________________________________
multiply_8 (Multiply) (None, 14, 14, 1024) 0 conv4_1_1x1_increase/bn[0][0]
activation_40[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_proj/bn (BatchNorma (None, 14, 14, 1024) 4096 conv4_1_1x1_proj[0][0]
__________________________________________________________________________________________________
add_8 (Add) (None, 14, 14, 1024) 0 multiply_8[0][0]
conv4_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 14, 14, 1024) 0 add_8[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_41[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 14, 14, 256) 0 conv4_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_2_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_42[0][0]
__________________________________________________________________________________________________
conv4_2_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_2_3x3[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 14, 14, 256) 0 conv4_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_43[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_2_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_9 (Glo (None, 1024) 0 conv4_2_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_9 (Reshape) (None, 1, 1, 1024) 0 global_average_pooling2d_9[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_down (Conv2D) (None, 1, 1, 64) 65600 reshape_9[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 1, 1, 64) 0 conv4_2_1x1_down[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_up (Conv2D) (None, 1, 1, 1024) 66560 activation_44[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 1, 1, 1024) 0 conv4_2_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_9 (Multiply) (None, 14, 14, 1024) 0 conv4_2_1x1_increase/bn[0][0]
activation_45[0][0]
__________________________________________________________________________________________________
add_9 (Add) (None, 14, 14, 1024) 0 multiply_9[0][0]
activation_41[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 14, 14, 1024) 0 add_9[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_46[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 14, 14, 256) 0 conv4_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_3_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_47[0][0]
__________________________________________________________________________________________________
conv4_3_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_3_3x3[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 14, 14, 256) 0 conv4_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_48[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_3_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_10 (Gl (None, 1024) 0 conv4_3_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_10 (Reshape) (None, 1, 1, 1024) 0 global_average_pooling2d_10[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_down (Conv2D) (None, 1, 1, 64) 65600 reshape_10[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 1, 1, 64) 0 conv4_3_1x1_down[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_up (Conv2D) (None, 1, 1, 1024) 66560 activation_49[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 1, 1, 1024) 0 conv4_3_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_10 (Multiply) (None, 14, 14, 1024) 0 conv4_3_1x1_increase/bn[0][0]
activation_50[0][0]
__________________________________________________________________________________________________
add_10 (Add) (None, 14, 14, 1024) 0 multiply_10[0][0]
activation_46[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 14, 14, 1024) 0 add_10[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_51[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_4_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 14, 14, 256) 0 conv4_4_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_4_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_52[0][0]
__________________________________________________________________________________________________
conv4_4_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_4_3x3[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 14, 14, 256) 0 conv4_4_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_53[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_4_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_11 (Gl (None, 1024) 0 conv4_4_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_11 (Reshape) (None, 1, 1, 1024) 0 global_average_pooling2d_11[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_down (Conv2D) (None, 1, 1, 64) 65600 reshape_11[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 1, 1, 64) 0 conv4_4_1x1_down[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_up (Conv2D) (None, 1, 1, 1024) 66560 activation_54[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 1, 1, 1024) 0 conv4_4_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_11 (Multiply) (None, 14, 14, 1024) 0 conv4_4_1x1_increase/bn[0][0]
activation_55[0][0]
__________________________________________________________________________________________________
add_11 (Add) (None, 14, 14, 1024) 0 multiply_11[0][0]
activation_51[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 14, 14, 1024) 0 add_11[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_56[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_5_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 14, 14, 256) 0 conv4_5_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_5_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_57[0][0]
__________________________________________________________________________________________________
conv4_5_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_5_3x3[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 14, 14, 256) 0 conv4_5_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_58[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_5_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_12 (Gl (None, 1024) 0 conv4_5_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_12 (Reshape) (None, 1, 1, 1024) 0 global_average_pooling2d_12[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_down (Conv2D) (None, 1, 1, 64) 65600 reshape_12[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 1, 1, 64) 0 conv4_5_1x1_down[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_up (Conv2D) (None, 1, 1, 1024) 66560 activation_59[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 1, 1, 1024) 0 conv4_5_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_12 (Multiply) (None, 14, 14, 1024) 0 conv4_5_1x1_increase/bn[0][0]
activation_60[0][0]
__________________________________________________________________________________________________
add_12 (Add) (None, 14, 14, 1024) 0 multiply_12[0][0]
activation_56[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 14, 14, 1024) 0 add_12[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_61[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_6_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 14, 14, 256) 0 conv4_6_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_6_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_62[0][0]
__________________________________________________________________________________________________
conv4_6_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_6_3x3[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 14, 14, 256) 0 conv4_6_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_63[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_6_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_13 (Gl (None, 1024) 0 conv4_6_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_13 (Reshape) (None, 1, 1, 1024) 0 global_average_pooling2d_13[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_down (Conv2D) (None, 1, 1, 64) 65600 reshape_13[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 1, 1, 64) 0 conv4_6_1x1_down[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_up (Conv2D) (None, 1, 1, 1024) 66560 activation_64[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 1, 1, 1024) 0 conv4_6_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_13 (Multiply) (None, 14, 14, 1024) 0 conv4_6_1x1_increase/bn[0][0]
activation_65[0][0]
__________________________________________________________________________________________________
add_13 (Add) (None, 14, 14, 1024) 0 multiply_13[0][0]
activation_61[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 14, 14, 1024) 0 add_13[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_reduce (Conv2D) (None, 7, 7, 512) 524288 activation_66[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_reduce/bn (BatchNor (None, 7, 7, 512) 2048 conv5_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 7, 7, 512) 0 conv5_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv5_1_3x3 (Conv2D) (None, 7, 7, 512) 2359296 activation_67[0][0]
__________________________________________________________________________________________________
conv5_1_3x3/bn (BatchNormalizat (None, 7, 7, 512) 2048 conv5_1_3x3[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 7, 7, 512) 0 conv5_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_increase (Conv2D) (None, 7, 7, 2048) 1048576 activation_68[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_increase/bn (BatchN (None, 7, 7, 2048) 8192 conv5_1_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_14 (Gl (None, 2048) 0 conv5_1_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_14 (Reshape) (None, 1, 1, 2048) 0 global_average_pooling2d_14[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_down (Conv2D) (None, 1, 1, 128) 262272 reshape_14[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 1, 1, 128) 0 conv5_1_1x1_down[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_up (Conv2D) (None, 1, 1, 2048) 264192 activation_69[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 1, 1, 2048) 0 conv5_1_1x1_up[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_proj (Conv2D) (None, 7, 7, 2048) 2097152 activation_66[0][0]
__________________________________________________________________________________________________
multiply_14 (Multiply) (None, 7, 7, 2048) 0 conv5_1_1x1_increase/bn[0][0]
activation_70[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_proj/bn (BatchNorma (None, 7, 7, 2048) 8192 conv5_1_1x1_proj[0][0]
__________________________________________________________________________________________________
add_14 (Add) (None, 7, 7, 2048) 0 multiply_14[0][0]
conv5_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 7, 7, 2048) 0 add_14[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_reduce (Conv2D) (None, 7, 7, 512) 1048576 activation_71[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_reduce/bn (BatchNor (None, 7, 7, 512) 2048 conv5_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 7, 7, 512) 0 conv5_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv5_2_3x3 (Conv2D) (None, 7, 7, 512) 2359296 activation_72[0][0]
__________________________________________________________________________________________________
conv5_2_3x3/bn (BatchNormalizat (None, 7, 7, 512) 2048 conv5_2_3x3[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 7, 7, 512) 0 conv5_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_increase (Conv2D) (None, 7, 7, 2048) 1048576 activation_73[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_increase/bn (BatchN (None, 7, 7, 2048) 8192 conv5_2_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_15 (Gl (None, 2048) 0 conv5_2_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_15 (Reshape) (None, 1, 1, 2048) 0 global_average_pooling2d_15[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_down (Conv2D) (None, 1, 1, 128) 262272 reshape_15[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 1, 1, 128) 0 conv5_2_1x1_down[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_up (Conv2D) (None, 1, 1, 2048) 264192 activation_74[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 1, 1, 2048) 0 conv5_2_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_15 (Multiply) (None, 7, 7, 2048) 0 conv5_2_1x1_increase/bn[0][0]
activation_75[0][0]
__________________________________________________________________________________________________
add_15 (Add) (None, 7, 7, 2048) 0 multiply_15[0][0]
activation_71[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 7, 7, 2048) 0 add_15[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_reduce (Conv2D) (None, 7, 7, 512) 1048576 activation_76[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_reduce/bn (BatchNor (None, 7, 7, 512) 2048 conv5_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 7, 7, 512) 0 conv5_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv5_3_3x3 (Conv2D) (None, 7, 7, 512) 2359296 activation_77[0][0]
__________________________________________________________________________________________________
conv5_3_3x3/bn (BatchNormalizat (None, 7, 7, 512) 2048 conv5_3_3x3[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 7, 7, 512) 0 conv5_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_increase (Conv2D) (None, 7, 7, 2048) 1048576 activation_78[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_increase/bn (BatchN (None, 7, 7, 2048) 8192 conv5_3_1x1_increase[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_16 (Gl (None, 2048) 0 conv5_3_1x1_increase/bn[0][0]
__________________________________________________________________________________________________
reshape_16 (Reshape) (None, 1, 1, 2048) 0 global_average_pooling2d_16[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_down (Conv2D) (None, 1, 1, 128) 262272 reshape_16[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 1, 1, 128) 0 conv5_3_1x1_down[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_up (Conv2D) (None, 1, 1, 2048) 264192 activation_79[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 1, 1, 2048) 0 conv5_3_1x1_up[0][0]
__________________________________________________________________________________________________
multiply_16 (Multiply) (None, 7, 7, 2048) 0 conv5_3_1x1_increase/bn[0][0]
activation_80[0][0]
__________________________________________________________________________________________________
add_16 (Add) (None, 7, 7, 2048) 0 multiply_16[0][0]
activation_76[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 7, 7, 2048) 0 add_16[0][0]
__________________________________________________________________________________________________
avg_pool (AveragePooling2D) (None, 1, 1, 2048) 0 activation_81[0][0]
__________________________________________________________________________________________________
flatten_1 (Flatten) (None, 2048) 0 avg_pool[0][0]
__________________________________________________________________________________________________
dropout_layer (Dropout) (None, 2048) 0 flatten_1[0][0]
__________________________________________________________________________________________________
dense (Dense) (None, 8) 16392 dropout_layer[0][0]
==================================================================================================
activation_81: -5
activation_80: -8
activation_79: -10
activation_78: -16
activation_77: -19
activation_76: -22
activation_75: -25
activation_74: -27
activation_73: -33
activation_72: -36
activation_71: -39
activation_70: -44
activation_69: -46
activation_68: -52