Understanding TensorFlow 2

In this chapter, you will get an in-depth understanding of TensorFlow. This is an open source distributed numerical computation framework, and it will be the main platform on which we will be implementing all our exercises. This chapter covers the following topics:

• What is TensorFlow?
• The building blocks of TensorFlow (for example, variables and operations)
• Using Keras for building models
• Implementing our first neural network

We will get started with TensorFlow by defining a simple calculation and trying to compute it using TensorFlow. After we complete this, we will investigate how TensorFlow executes this computation. This will help us to understand how the framework creates a computational graph to compute the outputs and execute this graph to obtain the desired outputs. Then we will dive into the details of how TensorFlow architecture operates by looking at how TensorFlow executes things, with the help of an analogy...