Generative Adversarial Networks Projects

The architecture of the discriminator

The discriminator in our GAN is a feed-forward neural network with five layers, including an input and an output layer, and three dense layers. The discriminator network is a classifier and is slightly different from the generator network. It processes an image and outputs a probability of the image belonging to a particular class.

The following diagram shows the flow of tensors and the input and output shapes of the tensors for each layer in the discriminator network:

The architecture of the discriminator network

Let's discuss how the discriminator processes data in forward propagation during the training ...