Generative Adversarial Networks Projects

The architecture of the generator network

As mentioned in the previous section, the generator network is a deep convolution neural network. The generator network contains the following blocks:

• The pre-residual block
• The residual block
• The post-residual block
• The upsampling block
• The final convolution layer

Let's explore these blocks one by one:

• The pre-residual block: The pre-residual block contains a single 2D convolution layer and relu as the activation function. The configuration of the block is as follows:

Layer name	Hyperparameters	Input shape	Output shape
2D convolution layer	Filters=64, kernel_size=3, strides=1, padding='same', activation='relu'	(64, 64, 3)	(64, 64, 64)

• The residual block: The residual ...