Intuition behind GAN for Beginners

The discriminator connects to two loss functions. During discriminator training, the discriminator ignores the generator loss and just uses the discriminator loss. We use the generator loss during generator training. The discriminator's training data comes from two sources: In the given figure above, the two "Sample" boxes represent these two data sources feeding into the discriminator. During discriminator training the generator does not train. Its weights remains fixed while it produces examples for the discriminator to train on.