Generative AI with Python and TensorFlow 2

2

Setting Up a TensorFlow Lab

Now that you have seen all the amazing applications of generative models in Chapter 1, An Introduction to Generative AI: "Drawing" Data from Models, you might be wondering how to get started with implementing these projects that use these kinds of algorithms. In this chapter, we will walk through a number of tools that we will use throughout the rest of the book to implement the deep neural networks that are used in various generative AI models. Our primary tool is the TensorFlow 2.0 framework, developed by Google^{1 2}; however, we will also use a number of additional resources to make the implementation process easier (summarized in Table 2.1).

We can broadly categorize these tools:

• Resources for replicable dependency ...