In this chapter, we'll cover the following recipes:
- Generative and discriminative models
- A neural network love story
- Deep neural networks
- Architecture structure basics
- Basic building block- generator
- Basic building block – loss functions
- Training
- GAN pieces come together in different ways
- What does a GAN output?
- Understanding the benefits of a GAN structure