Chapter 09.01: Generative Adversarial Networks (GANs)
This subchapter introduces GANs, which consist of a generator and a discriminator competing to create realistic data samples. In addition, key concepts discussed in this subchapter include the minimax loss function and challenges in training, such as stability issues and optimal discriminator requirements.