This section features an introduction to the basics of deep learning, how to set up a deep learning environment with Python and Keras, and how to go about acquiring data. You will also benefit from an introduction to generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Normalizing Flow (NF).
The following chapters will be covered in this section:
- Chapter 1, Deep Learning Basics and Environment Setup
- Chapter 2, Introduction to Generative Models
