January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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The discriminator network
The architecture of the discriminator network in pix2pix is inspired by the architecture of the PatchGAN network. The PatchGAN network contains eight convolutional blocks as follows:
|
Layer Name |
Hyperparameters |
Input Shape |
Output Shape |
|
1st 2D Convolution Layer |
filters=64, kernel_size=4, strides=2, padding='same', |
(256, 256, 1) |
(256, 256, 64) |
|
Activation Layer |
activation='leakyrelu', alpha=0.2 |
(128, 128, 64) |
(128, 128, 64) |
|
2nd 2D Convolution Layer |
filters=128, kernel_size=4, strides=2, padding='same', |
(128, 128, 64) |
(64, 64, 128) |
|
Batch Normalization Layer |
None |
(64, 64, 128) |
(64, 64, 128) |
|
Activation Layer |
activation='leakyrelu', alpha=0.2 |
(64, 64, 128) |
(64, ... |
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