Chapter 10: Road Ahead
This is the final chapter of the book. We have learned about and implemented many generative models; and yet there are a lot more models and applications that we have not covered as they are beyond the scope of this book. In this chapter, we will start by summarizing some of the important techniques that we have learned, such as optimizer and activation functions, adversarial loss, auxiliary loss, normalization, and regularization.
Then, we will look at some of the common pitfalls when using generative models in real-world settings. After that, we will go over some interesting image/video generative models and applications. There is no coding in this chapter, but you will find that many of the new models that we introduce in this chapter are built using techniques we have learned previously. There are also a few links to resources where you can read papers and code to explore the technology.
We will cover the following topics in this chapter:
- Reviewing...
