The architecture of the generator network is described in the following diagram. It takes a 1-dimension random value as input and gives a 10-dimension vector as output. It has 2 hidden layers with each containing 10 neurons. The calculation in each layer is a matrix multiplication. Therefore, the network is, in fact, a Multilayer Perceptron (MLP):
Structure of the generator network
The architecture of the discriminator network is described in the following diagram. It takes a 10-dimension vector as input and gives a 1-dimension value as output. The output is the prediction label (real or fake) of the input ...
