In this section, you will learn how to train simple GAN models, come to understand the challenges involved in training GANs, learn to evaluate GAN samples, and lastly, learn how to improve GANs with different architectures and loss functions.
The following chapters will be covered in this section:
- Chapter 3, Implementing Your First GAN
- Chapter 4, Evaluating Your First GAN
- Chapter 5, Improving Your First GAN