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zhudotexe/gist:baf008fca4524adb1dcc240ace9d97f7

Created May 6, 2019 02:06
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gistfile1.txt
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
h (InputLayer) (None, 64) 0
__________________________________________________________________________________________________
dense_1 (Dense) (None, 4096) 266240 h[0][0]
__________________________________________________________________________________________________
reshape (Reshape) (None, 8, 8, 64) 0 dense_1[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 8, 8, 64) 36928 reshape[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_9 (Batch (None, 8, 8, 64) 256 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 8, 8, 64) 0 batch_normalization_v1_9[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 8, 8, 64) 36928 activation_9[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_10 (Batc (None, 8, 8, 64) 256 conv2d_10[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 8, 8, 64) 0 batch_normalization_v1_10[0][0]
__________________________________________________________________________________________________
up_sampling2d_1 (UpSampling2D) (None, 16, 16, 64) 0 activation_10[0][0]
__________________________________________________________________________________________________
up_sampling2d (UpSampling2D) (None, 16, 16, 64) 0 reshape[0][0]
__________________________________________________________________________________________________
concatenate (Concatenate) (None, 16, 16, 128) 0 up_sampling2d_1[0][0]
up_sampling2d[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 16, 16, 64) 73792 concatenate[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_11 (Batc (None, 16, 16, 64) 256 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 16, 16, 64) 0 batch_normalization_v1_11[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 16, 16, 64) 36928 activation_11[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_12 (Batc (None, 16, 16, 64) 256 conv2d_12[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 16, 16, 64) 0 batch_normalization_v1_12[0][0]
__________________________________________________________________________________________________
up_sampling2d_3 (UpSampling2D) (None, 32, 32, 64) 0 activation_12[0][0]
__________________________________________________________________________________________________
up_sampling2d_2 (UpSampling2D) (None, 32, 32, 64) 0 up_sampling2d[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 32, 32, 128) 0 up_sampling2d_3[0][0]
up_sampling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 32, 32, 64) 73792 concatenate_1[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_13 (Batc (None, 32, 32, 64) 256 conv2d_13[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 32, 32, 64) 0 batch_normalization_v1_13[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 32, 32, 64) 36928 activation_13[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_14 (Batc (None, 32, 32, 64) 256 conv2d_14[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 32, 32, 64) 0 batch_normalization_v1_14[0][0]
__________________________________________________________________________________________________
up_sampling2d_5 (UpSampling2D) (None, 64, 64, 64) 0 activation_14[0][0]
__________________________________________________________________________________________________
up_sampling2d_4 (UpSampling2D) (None, 64, 64, 64) 0 up_sampling2d_2[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 64, 64, 128) 0 up_sampling2d_5[0][0]
up_sampling2d_4[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 64, 64, 64) 73792 concatenate_2[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_15 (Batc (None, 64, 64, 64) 256 conv2d_15[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 64, 64, 64) 0 batch_normalization_v1_15[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 64, 64, 64) 36928 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_16 (Batc (None, 64, 64, 64) 256 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 64, 64, 64) 0 batch_normalization_v1_16[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 64, 64, 3) 1731 activation_16[0][0]
==================================================================================================
Total params: 676,035
Trainable params: 675,011
Non-trainable params: 1,024
__________________________________________________________________________________________________
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
image (InputLayer) (None, 64, 64, 3) 0
_________________________________________________________________
conv2d (Conv2D) (None, 64, 64, 64) 1792
_________________________________________________________________
batch_normalization_v1 (Batc (None, 64, 64, 64) 256
_________________________________________________________________
activation (Activation) (None, 64, 64, 64) 0
_________________________________________________________________
conv2d_1 (Conv2D) (None, 64, 64, 64) 36928
_________________________________________________________________
batch_normalization_v1_1 (Ba (None, 64, 64, 64) 256
_________________________________________________________________
activation_1 (Activation) (None, 64, 64, 64) 0
_________________________________________________________________
conv2d_2 (Conv2D) (None, 64, 64, 128) 73856
_________________________________________________________________
batch_normalization_v1_2 (Ba (None, 64, 64, 128) 512
_________________________________________________________________
activation_2 (Activation) (None, 64, 64, 128) 0
_________________________________________________________________
conv2d_3 (Conv2D) (None, 32, 32, 128) 147584
_________________________________________________________________
batch_normalization_v1_3 (Ba (None, 32, 32, 128) 512
_________________________________________________________________
activation_3 (Activation) (None, 32, 32, 128) 0
_________________________________________________________________
conv2d_4 (Conv2D) (None, 32, 32, 192) 221376
_________________________________________________________________
batch_normalization_v1_4 (Ba (None, 32, 32, 192) 768
_________________________________________________________________
activation_4 (Activation) (None, 32, 32, 192) 0
_________________________________________________________________
conv2d_5 (Conv2D) (None, 16, 16, 192) 331968
_________________________________________________________________
batch_normalization_v1_5 (Ba (None, 16, 16, 192) 768
_________________________________________________________________
activation_5 (Activation) (None, 16, 16, 192) 0
_________________________________________________________________
conv2d_6 (Conv2D) (None, 16, 16, 256) 442624
_________________________________________________________________
batch_normalization_v1_6 (Ba (None, 16, 16, 256) 1024
_________________________________________________________________
activation_6 (Activation) (None, 16, 16, 256) 0
_________________________________________________________________
conv2d_7 (Conv2D) (None, 8, 8, 256) 590080
_________________________________________________________________
batch_normalization_v1_7 (Ba (None, 8, 8, 256) 1024
_________________________________________________________________
activation_7 (Activation) (None, 8, 8, 256) 0
_________________________________________________________________
conv2d_8 (Conv2D) (None, 8, 8, 256) 590080
_________________________________________________________________
batch_normalization_v1_8 (Ba (None, 8, 8, 256) 1024
_________________________________________________________________
activation_8 (Activation) (None, 8, 8, 256) 0
_________________________________________________________________
flatten (Flatten) (None, 16384) 0
_________________________________________________________________
dense (Dense) (None, 64) 1048640
=================================================================
Total params: 3,491,072
Trainable params: 3,488,000
Non-trainable params: 3,072
_________________________________________________________________
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
h (InputLayer) (None, 64) 0
__________________________________________________________________________________________________
dense_1 (Dense) (None, 4096) 266240 h[0][0]
__________________________________________________________________________________________________
reshape (Reshape) (None, 8, 8, 64) 0 dense_1[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 8, 8, 64) 36928 reshape[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_9 (Batch (None, 8, 8, 64) 256 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 8, 8, 64) 0 batch_normalization_v1_9[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 8, 8, 64) 36928 activation_9[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_10 (Batc (None, 8, 8, 64) 256 conv2d_10[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 8, 8, 64) 0 batch_normalization_v1_10[0][0]
__________________________________________________________________________________________________
up_sampling2d_1 (UpSampling2D) (None, 16, 16, 64) 0 activation_10[0][0]
__________________________________________________________________________________________________
up_sampling2d (UpSampling2D) (None, 16, 16, 64) 0 reshape[0][0]
__________________________________________________________________________________________________
concatenate (Concatenate) (None, 16, 16, 128) 0 up_sampling2d_1[0][0]
up_sampling2d[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 16, 16, 64) 73792 concatenate[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_11 (Batc (None, 16, 16, 64) 256 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 16, 16, 64) 0 batch_normalization_v1_11[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 16, 16, 64) 36928 activation_11[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_12 (Batc (None, 16, 16, 64) 256 conv2d_12[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 16, 16, 64) 0 batch_normalization_v1_12[0][0]
__________________________________________________________________________________________________
up_sampling2d_3 (UpSampling2D) (None, 32, 32, 64) 0 activation_12[0][0]
__________________________________________________________________________________________________
up_sampling2d_2 (UpSampling2D) (None, 32, 32, 64) 0 up_sampling2d[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 32, 32, 128) 0 up_sampling2d_3[0][0]
up_sampling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 32, 32, 64) 73792 concatenate_1[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_13 (Batc (None, 32, 32, 64) 256 conv2d_13[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 32, 32, 64) 0 batch_normalization_v1_13[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 32, 32, 64) 36928 activation_13[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_14 (Batc (None, 32, 32, 64) 256 conv2d_14[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 32, 32, 64) 0 batch_normalization_v1_14[0][0]
__________________________________________________________________________________________________
up_sampling2d_5 (UpSampling2D) (None, 64, 64, 64) 0 activation_14[0][0]
__________________________________________________________________________________________________
up_sampling2d_4 (UpSampling2D) (None, 64, 64, 64) 0 up_sampling2d_2[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 64, 64, 128) 0 up_sampling2d_5[0][0]
up_sampling2d_4[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 64, 64, 64) 73792 concatenate_2[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_15 (Batc (None, 64, 64, 64) 256 conv2d_15[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 64, 64, 64) 0 batch_normalization_v1_15[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 64, 64, 64) 36928 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_v1_16 (Batc (None, 64, 64, 64) 256 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 64, 64, 64) 0 batch_normalization_v1_16[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 64, 64, 3) 1731 activation_16[0][0]
==================================================================================================
Total params: 676,035
Trainable params: 675,011
Non-trainable params: 1,024
__________________________________________________________________________________________________
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