Getting Started with TensorFlow 2.x
Google's TensorFlow engine has a unique way of solving problems, allowing us to solve machine learning problems very efficiently. Nowadays, machine learning is used in almost all areas of life and work, with famous applications in computer vision, speech recognition, language translations, healthcare, and many more. We will cover the basic steps to understand how TensorFlow operates and eventually build up to production code techniques later in the pages of this book. For the moment, the fundamentals presented in this chapter are paramount in order to provide you with a core understanding for the recipes found in the rest of this book.
In this chapter, we'll start by covering some basic recipes and helping you to understand how TensorFlow 2.x works. You'll also learn how to access the data used to run the examples in this book, and how to get additional resources. By the end of this chapter, you should have knowledge of the following...