MobileNet 卷積層特徵圖

input_1 (224, 224, 3) -> Skipped. First dimension is not 1.
conv1_pad (1, 225, 225, 3) 
conv1 (1, 112, 112, 32) 
conv1_bn (1, 112, 112, 32) 
conv1_relu (1, 112, 112, 32) 
conv_dw_1 (1, 112, 112, 32) 
conv_dw_1_bn (1, 112, 112, 32) 
conv_dw_1_relu (1, 112, 112, 32) 
conv_pw_1 (1, 112, 112, 64) 
conv_pw_1_bn (1, 112, 112, 64) 
conv_pw_1_relu (1, 112, 112, 64) 
conv_pad_2 (1, 113, 113, 64) 
conv_dw_2 (1, 56, 56, 64) 
conv_dw_2_bn (1, 56, 56, 64) 
conv_dw_2_relu (1, 56, 56, 64) 
conv_pw_2 (1, 56, 56, 128) 
conv_pw_2_bn (1, 56, 56, 128) 
conv_pw_2_relu (1, 56, 56, 128) 
conv_dw_3 (1, 56, 56, 128) 
conv_dw_3_bn (1, 56, 56, 128) 
conv_dw_3_relu (1, 56, 56, 128) 
conv_pw_3 (1, 56, 56, 128) 
conv_pw_3_bn (1, 56, 56, 128) 
conv_pw_3_relu (1, 56, 56, 128) 
conv_pad_4 (1, 57, 57, 128) 
conv_dw_4 (1, 28, 28, 128) 
conv_dw_4_bn (1, 28, 28, 128) 
conv_dw_4_relu (1, 28, 28, 128) 
conv_pw_4 (1, 28, 28, 256) 
conv_pw_4_bn (1, 28, 28, 256) 
conv_pw_4_relu (1, 28, 28, 256) 
conv_dw_5 (1, 28, 28, 256) 
conv_dw_5_bn (1, 28, 28, 256) 
conv_dw_5_relu (1, 28, 28, 256) 
conv_pw_5 (1, 28, 28, 256) 
conv_pw_5_bn (1, 28, 28, 256) 
conv_pw_5_relu (1, 28, 28, 256) 
conv_pad_6 (1, 29, 29, 256) 
conv_dw_6 (1, 14, 14, 256) 
conv_dw_6_bn (1, 14, 14, 256) 
conv_dw_6_relu (1, 14, 14, 256) 
conv_pw_6 (1, 14, 14, 512) 
conv_pw_6_bn (1, 14, 14, 512) 
conv_pw_6_relu (1, 14, 14, 512) 
conv_dw_7 (1, 14, 14, 512) 
conv_dw_7_bn (1, 14, 14, 512) 
conv_dw_7_relu (1, 14, 14, 512) 
conv_pw_7 (1, 14, 14, 512) 
conv_pw_7_bn (1, 14, 14, 512) 
conv_pw_7_relu (1, 14, 14, 512) 
conv_dw_8 (1, 14, 14, 512) 
conv_dw_8_bn (1, 14, 14, 512) 
conv_dw_8_relu (1, 14, 14, 512) 
conv_pw_8 (1, 14, 14, 512) 
conv_pw_8_bn (1, 14, 14, 512) 
conv_pw_8_relu (1, 14, 14, 512) 
conv_dw_9 (1, 14, 14, 512) 
conv_dw_9_bn (1, 14, 14, 512) 
conv_dw_9_relu (1, 14, 14, 512) 
conv_pw_9 (1, 14, 14, 512) 
conv_pw_9_bn (1, 14, 14, 512) 
conv_pw_9_relu (1, 14, 14, 512) 
conv_dw_10 (1, 14, 14, 512) 
conv_dw_10_bn (1, 14, 14, 512) 
conv_dw_10_relu (1, 14, 14, 512) 
conv_pw_10 (1, 14, 14, 512) 
conv_pw_10_bn (1, 14, 14, 512) 
conv_pw_10_relu (1, 14, 14, 512) 
conv_dw_11 (1, 14, 14, 512) 
conv_dw_11_bn (1, 14, 14, 512) 
conv_dw_11_relu (1, 14, 14, 512) 
conv_pw_11 (1, 14, 14, 512) 
conv_pw_11_bn (1, 14, 14, 512) 
conv_pw_11_relu (1, 14, 14, 512) 
conv_pad_12 (1, 15, 15, 512) 
conv_dw_12 (1, 7, 7, 512) 
conv_dw_12_bn (1, 7, 7, 512) 
conv_dw_12_relu (1, 7, 7, 512) 
conv_pw_12 (1, 7, 7, 1024) 
conv_pw_12_bn (1, 7, 7, 1024) 
conv_pw_12_relu (1, 7, 7, 1024) 
conv_dw_13 (1, 7, 7, 1024) 
conv_dw_13_bn (1, 7, 7, 1024) 
conv_dw_13_relu (1, 7, 7, 1024) 
conv_pw_13 (1, 7, 7, 1024) 
conv_pw_13_bn (1, 7, 7, 1024) 
conv_pw_13_relu (1, 7, 7, 1024) 
global_average_pooling2d (1, 1024) 
reshape_1 (1, 1, 1, 1024) 
dropout (1, 1, 1, 1024) 
conv_preds (1, 1, 1, 1000) 
reshape_2 (1, 1000) 
act_softmax (1, 1000)