In this section, we will explore advanced deep learning algorithms in detail and we will see how to implement them using TensorFlow. We will learn about generative adversarial networks (GANs) and autoencoders. We will explore their types and applications.

The following chapters are included in this section:

• Chapter 8, Generating Images Using GANs
• Chapter 9, Learning More about GANs
• Chapter 10, Reconstructing Inputs Using Autoencoders
• Chapter 11, Exploring Few-Shot Learning Algorithms