Generative Deep Learning with Python

Chapter 9: Advanced Topics in Generative Deep Learning

 

In this chapter, we will navigate the deeper waters of Generative Deep Learning. Having already traversed the foundational concepts and basic models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Autoregressive Models, we're now prepared to explore advanced techniques that further enhance these models.

Generative Deep Learning continues to be a rapidly advancing field, with numerous enhancements and novel models being proposed regularly. The aim of this chapter is to acquaint you with these advanced techniques, thereby enabling you to stay abreast with the latest developments and utilize these enhanced techniques in your projects.

Let's commence this ...