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