The detailed architecture of a GAN

The architecture of a GAN has two basic elements: the generator network and the discriminator network. Each network can be any neural network, such as an Artificial Neural Network (ANN), a Convolutional Neural Network (CNN), a Recurrent Neural Network (RNN), or a Long Short Term Memory (LSTM). The discriminator has to have fully connected layers with a classifier at the end.

Let's take a closer look at the components of the architecture of a GAN. In this example, we will imagine that we are creating a dummy GAN.