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resnet50_layers.txt
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resnet50_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_proj (Conv2D) (None, 55, 55, 256) 16384 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2_1_1x1_increase/bn (BatchN (None, 55, 55, 256) 1024 conv2_1_1x1_increase[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 conv2_1_1x1_increase/bn[0][0]
conv2_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 55, 55, 256) 0 add_1[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_reduce (Conv2D) (None, 55, 55, 64) 16384 activation_4[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_reduce/bn (BatchNor (None, 55, 55, 64) 256 conv2_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 55, 55, 64) 0 conv2_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv2_2_3x3 (Conv2D) (None, 55, 55, 64) 36864 activation_5[0][0]
__________________________________________________________________________________________________
conv2_2_3x3/bn (BatchNormalizat (None, 55, 55, 64) 256 conv2_2_3x3[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 55, 55, 64) 0 conv2_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_increase (Conv2D) (None, 55, 55, 256) 16384 activation_6[0][0]
__________________________________________________________________________________________________
conv2_2_1x1_increase/bn (BatchN (None, 55, 55, 256) 1024 conv2_2_1x1_increase[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 55, 55, 256) 0 conv2_2_1x1_increase/bn[0][0]
activation_4[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 55, 55, 256) 0 add_2[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_reduce (Conv2D) (None, 55, 55, 64) 16384 activation_7[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_reduce/bn (BatchNor (None, 55, 55, 64) 256 conv2_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 55, 55, 64) 0 conv2_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv2_3_3x3 (Conv2D) (None, 55, 55, 64) 36864 activation_8[0][0]
__________________________________________________________________________________________________
conv2_3_3x3/bn (BatchNormalizat (None, 55, 55, 64) 256 conv2_3_3x3[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 55, 55, 64) 0 conv2_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_increase (Conv2D) (None, 55, 55, 256) 16384 activation_9[0][0]
__________________________________________________________________________________________________
conv2_3_1x1_increase/bn (BatchN (None, 55, 55, 256) 1024 conv2_3_1x1_increase[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 55, 55, 256) 0 conv2_3_1x1_increase/bn[0][0]
activation_7[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 55, 55, 256) 0 add_3[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_reduce (Conv2D) (None, 28, 28, 128) 32768 activation_10[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 28, 28, 128) 0 conv3_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_1_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_11[0][0]
__________________________________________________________________________________________________
conv3_1_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_1_3x3[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 28, 28, 128) 0 conv3_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_12[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_proj (Conv2D) (None, 28, 28, 512) 131072 activation_10[0][0]
__________________________________________________________________________________________________
conv3_1_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_1_1x1_increase[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 conv3_1_1x1_increase/bn[0][0]
conv3_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 28, 28, 512) 0 add_4[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_reduce (Conv2D) (None, 28, 28, 128) 65536 activation_13[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 28, 28, 128) 0 conv3_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_2_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_14[0][0]
__________________________________________________________________________________________________
conv3_2_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_2_3x3[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 28, 28, 128) 0 conv3_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_15[0][0]
__________________________________________________________________________________________________
conv3_2_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_2_1x1_increase[0][0]
__________________________________________________________________________________________________
add_5 (Add) (None, 28, 28, 512) 0 conv3_2_1x1_increase/bn[0][0]
activation_13[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 28, 28, 512) 0 add_5[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_reduce (Conv2D) (None, 28, 28, 128) 65536 activation_16[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 28, 28, 128) 0 conv3_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_3_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_17[0][0]
__________________________________________________________________________________________________
conv3_3_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_3_3x3[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 28, 28, 128) 0 conv3_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_18[0][0]
__________________________________________________________________________________________________
conv3_3_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_3_1x1_increase[0][0]
__________________________________________________________________________________________________
add_6 (Add) (None, 28, 28, 512) 0 conv3_3_1x1_increase/bn[0][0]
activation_16[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 28, 28, 512) 0 add_6[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_reduce (Conv2D) (None, 28, 28, 128) 65536 activation_19[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_reduce/bn (BatchNor (None, 28, 28, 128) 512 conv3_4_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 28, 28, 128) 0 conv3_4_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv3_4_3x3 (Conv2D) (None, 28, 28, 128) 147456 activation_20[0][0]
__________________________________________________________________________________________________
conv3_4_3x3/bn (BatchNormalizat (None, 28, 28, 128) 512 conv3_4_3x3[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 28, 28, 128) 0 conv3_4_3x3/bn[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_increase (Conv2D) (None, 28, 28, 512) 65536 activation_21[0][0]
__________________________________________________________________________________________________
conv3_4_1x1_increase/bn (BatchN (None, 28, 28, 512) 2048 conv3_4_1x1_increase[0][0]
__________________________________________________________________________________________________
add_7 (Add) (None, 28, 28, 512) 0 conv3_4_1x1_increase/bn[0][0]
activation_19[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 28, 28, 512) 0 add_7[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_reduce (Conv2D) (None, 14, 14, 256) 131072 activation_22[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 14, 14, 256) 0 conv4_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_1_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_23[0][0]
__________________________________________________________________________________________________
conv4_1_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_1_3x3[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 14, 14, 256) 0 conv4_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_24[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_proj (Conv2D) (None, 14, 14, 1024) 524288 activation_22[0][0]
__________________________________________________________________________________________________
conv4_1_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_1_1x1_increase[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 conv4_1_1x1_increase/bn[0][0]
conv4_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 14, 14, 1024) 0 add_8[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_25[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 14, 14, 256) 0 conv4_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_2_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_26[0][0]
__________________________________________________________________________________________________
conv4_2_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_2_3x3[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 14, 14, 256) 0 conv4_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_27[0][0]
__________________________________________________________________________________________________
conv4_2_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_2_1x1_increase[0][0]
__________________________________________________________________________________________________
add_9 (Add) (None, 14, 14, 1024) 0 conv4_2_1x1_increase/bn[0][0]
activation_25[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 14, 14, 1024) 0 add_9[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_28[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 14, 14, 256) 0 conv4_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_3_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_29[0][0]
__________________________________________________________________________________________________
conv4_3_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_3_3x3[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 14, 14, 256) 0 conv4_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_30[0][0]
__________________________________________________________________________________________________
conv4_3_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_3_1x1_increase[0][0]
__________________________________________________________________________________________________
add_10 (Add) (None, 14, 14, 1024) 0 conv4_3_1x1_increase/bn[0][0]
activation_28[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 14, 14, 1024) 0 add_10[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_31[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_4_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 14, 14, 256) 0 conv4_4_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_4_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_32[0][0]
__________________________________________________________________________________________________
conv4_4_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_4_3x3[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 14, 14, 256) 0 conv4_4_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_33[0][0]
__________________________________________________________________________________________________
conv4_4_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_4_1x1_increase[0][0]
__________________________________________________________________________________________________
add_11 (Add) (None, 14, 14, 1024) 0 conv4_4_1x1_increase/bn[0][0]
activation_31[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 14, 14, 1024) 0 add_11[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_34[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_5_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 14, 14, 256) 0 conv4_5_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_5_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_35[0][0]
__________________________________________________________________________________________________
conv4_5_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_5_3x3[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 14, 14, 256) 0 conv4_5_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_36[0][0]
__________________________________________________________________________________________________
conv4_5_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_5_1x1_increase[0][0]
__________________________________________________________________________________________________
add_12 (Add) (None, 14, 14, 1024) 0 conv4_5_1x1_increase/bn[0][0]
activation_34[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 14, 14, 1024) 0 add_12[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_reduce (Conv2D) (None, 14, 14, 256) 262144 activation_37[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_reduce/bn (BatchNor (None, 14, 14, 256) 1024 conv4_6_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 14, 14, 256) 0 conv4_6_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv4_6_3x3 (Conv2D) (None, 14, 14, 256) 589824 activation_38[0][0]
__________________________________________________________________________________________________
conv4_6_3x3/bn (BatchNormalizat (None, 14, 14, 256) 1024 conv4_6_3x3[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 14, 14, 256) 0 conv4_6_3x3/bn[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_increase (Conv2D) (None, 14, 14, 1024) 262144 activation_39[0][0]
__________________________________________________________________________________________________
conv4_6_1x1_increase/bn (BatchN (None, 14, 14, 1024) 4096 conv4_6_1x1_increase[0][0]
__________________________________________________________________________________________________
add_13 (Add) (None, 14, 14, 1024) 0 conv4_6_1x1_increase/bn[0][0]
activation_37[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 14, 14, 1024) 0 add_13[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_reduce (Conv2D) (None, 7, 7, 512) 524288 activation_40[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_reduce/bn (BatchNor (None, 7, 7, 512) 2048 conv5_1_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 7, 7, 512) 0 conv5_1_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv5_1_3x3 (Conv2D) (None, 7, 7, 512) 2359296 activation_41[0][0]
__________________________________________________________________________________________________
conv5_1_3x3/bn (BatchNormalizat (None, 7, 7, 512) 2048 conv5_1_3x3[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 7, 7, 512) 0 conv5_1_3x3/bn[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_increase (Conv2D) (None, 7, 7, 2048) 1048576 activation_42[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_proj (Conv2D) (None, 7, 7, 2048) 2097152 activation_40[0][0]
__________________________________________________________________________________________________
conv5_1_1x1_increase/bn (BatchN (None, 7, 7, 2048) 8192 conv5_1_1x1_increase[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 conv5_1_1x1_increase/bn[0][0]
conv5_1_1x1_proj/bn[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 7, 7, 2048) 0 add_14[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_reduce (Conv2D) (None, 7, 7, 512) 1048576 activation_43[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_reduce/bn (BatchNor (None, 7, 7, 512) 2048 conv5_2_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 7, 7, 512) 0 conv5_2_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv5_2_3x3 (Conv2D) (None, 7, 7, 512) 2359296 activation_44[0][0]
__________________________________________________________________________________________________
conv5_2_3x3/bn (BatchNormalizat (None, 7, 7, 512) 2048 conv5_2_3x3[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 7, 7, 512) 0 conv5_2_3x3/bn[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_increase (Conv2D) (None, 7, 7, 2048) 1048576 activation_45[0][0]
__________________________________________________________________________________________________
conv5_2_1x1_increase/bn (BatchN (None, 7, 7, 2048) 8192 conv5_2_1x1_increase[0][0]
__________________________________________________________________________________________________
add_15 (Add) (None, 7, 7, 2048) 0 conv5_2_1x1_increase/bn[0][0]
activation_43[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 7, 7, 2048) 0 add_15[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_reduce (Conv2D) (None, 7, 7, 512) 1048576 activation_46[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_reduce/bn (BatchNor (None, 7, 7, 512) 2048 conv5_3_1x1_reduce[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 7, 7, 512) 0 conv5_3_1x1_reduce/bn[0][0]
__________________________________________________________________________________________________
conv5_3_3x3 (Conv2D) (None, 7, 7, 512) 2359296 activation_47[0][0]
__________________________________________________________________________________________________
conv5_3_3x3/bn (BatchNormalizat (None, 7, 7, 512) 2048 conv5_3_3x3[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 7, 7, 512) 0 conv5_3_3x3/bn[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_increase (Conv2D) (None, 7, 7, 2048) 1048576 activation_48[0][0]
__________________________________________________________________________________________________
conv5_3_1x1_increase/bn (BatchN (None, 7, 7, 2048) 8192 conv5_3_1x1_increase[0][0]
__________________________________________________________________________________________________
add_16 (Add) (None, 7, 7, 2048) 0 conv5_3_1x1_increase/bn[0][0]
activation_46[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 7, 7, 2048) 0 add_16[0][0]
__________________________________________________________________________________________________
avg_pool (AveragePooling2D) (None, 1, 1, 2048) 0 activation_49[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_48: -9
activation_47: -12
acitvation_46: -15
activation_45: -19
activation_44: -22
activation_43: -25
activation_42: -31
activation_41: -34
activation_40: -37
activation_39: -41
activation_38: -44
activation_37: -47
activation_36: -51
activation_35: -54
activation_34: -57
activation_33: -61
activation_32: -64