Generative Adversarial Networks Projects

The architecture of the generator

The generator network is an auto-encoder type of network. It takes an image as an input and outputs another image. It has two parts: an encoder and a decoder. The encoder contains convolutional layers with downsampling capabilities and transforms an input of a shape of 128x128x3 to an internal representation. The decoder contains two upsampling blocks and a final convolution layer, which transforms the internal representation to an output of a shape of 128x128x3.

The generator network contains the following blocks:

• The convolution block
• The residual block
• The upsampling block
• The final convolution layer

Let's go through each component one by one:

• The convolution block: The convolution block contains a ...