Datasets:
HenryAI
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KerasCodeExamples.txt

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__________________________________________________________________________________________________
activation (Activation) (None, 80, 80, 32) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 80, 80, 32) 0 activation[0][0]
__________________________________________________________________________________________________
separable_conv2d (SeparableConv (None, 80, 80, 64) 2400 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 80, 80, 64) 256 separable_conv2d[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 80, 80, 64) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
separable_conv2d_1 (SeparableCo (None, 80, 80, 64) 4736 activation_2[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 80, 80, 64) 256 separable_conv2d_1[0][0]
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 40, 40, 64) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 40, 40, 64) 2112 activation[0][0]
__________________________________________________________________________________________________
add (Add) (None, 40, 40, 64) 0 max_pooling2d[0][0]
conv2d_1[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 40, 40, 64) 0 add[0][0]
__________________________________________________________________________________________________
separable_conv2d_2 (SeparableCo (None, 40, 40, 128) 8896 activation_3[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 40, 40, 128) 512 separable_conv2d_2[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 40, 40, 128) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
separable_conv2d_3 (SeparableCo (None, 40, 40, 128) 17664 activation_4[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 40, 40, 128) 512 separable_conv2d_3[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 20, 20, 128) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 20, 20, 128) 8320 add[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 20, 20, 128) 0 max_pooling2d_1[0][0]
conv2d_2[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 20, 20, 128) 0 add_1[0][0]
__________________________________________________________________________________________________
separable_conv2d_4 (SeparableCo (None, 20, 20, 256) 34176 activation_5[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 20, 20, 256) 1024 separable_conv2d_4[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 20, 20, 256) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
separable_conv2d_5 (SeparableCo (None, 20, 20, 256) 68096 activation_6[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 20, 20, 256) 1024 separable_conv2d_5[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 10, 10, 256) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 10, 10, 256) 33024 add_1[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 10, 10, 256) 0 max_pooling2d_2[0][0]
conv2d_3[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 10, 10, 256) 0 add_2[0][0]
__________________________________________________________________________________________________
conv2d_transpose (Conv2DTranspo (None, 10, 10, 256) 590080 activation_7[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 10, 10, 256) 1024 conv2d_transpose[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 10, 10, 256) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
conv2d_transpose_1 (Conv2DTrans (None, 10, 10, 256) 590080 activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 10, 10, 256) 1024 conv2d_transpose_1[0][0]
__________________________________________________________________________________________________
up_sampling2d_1 (UpSampling2D) (None, 20, 20, 256) 0 add_2[0][0]
__________________________________________________________________________________________________
up_sampling2d (UpSampling2D) (None, 20, 20, 256) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 20, 20, 256) 65792 up_sampling2d_1[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 20, 20, 256) 0 up_sampling2d[0][0]
conv2d_4[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 20, 20, 256) 0 add_3[0][0]
__________________________________________________________________________________________________
conv2d_transpose_2 (Conv2DTrans (None, 20, 20, 128) 295040 activation_9[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 20, 20, 128) 512 conv2d_transpose_2[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 20, 20, 128) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
conv2d_transpose_3 (Conv2DTrans (None, 20, 20, 128) 147584 activation_10[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 20, 20, 128) 512 conv2d_transpose_3[0][0]
__________________________________________________________________________________________________
up_sampling2d_3 (UpSampling2D) (None, 40, 40, 256) 0 add_3[0][0]
__________________________________________________________________________________________________
up_sampling2d_2 (UpSampling2D) (None, 40, 40, 128) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 40, 40, 128) 32896 up_sampling2d_3[0][0]
__________________________________________________________________________________________________
add_4 (Add) (None, 40, 40, 128) 0 up_sampling2d_2[0][0]