Setting up a training flow for a generative adversarial network is not straight forward, as it demands a lot of technical considerations. We define three networks for training as follows:
- The generator network g with parameters
- The discriminator network d with parameters
- The combined generator discriminator network denoted by g_d with weights
and
The generator g creates fake images that the d discriminator would evaluate and ...
