In this chapter, we will introduce neural networks and how to implement them in TensorFlow. Most of the subsequent chapters will be based on neural networks, so learning how to use them in TensorFlow is very important. We will start by introducing basic concepts of neural networking and work up to multilayer networks. In the last section, we will create a neural network that learns to play Tic Tac Toe.
In this chapter, we'll cover the following recipes:
Implementing Operational Gates
Working with Gates and Activation Functions
Implementing a One-Layer Neural Network
Implementing Different Layers
Using Multilayer Networks
Improving Predictions of Linear Models
Learning to Play Tic Tac Toe
The reader can find all the code from this chapter online, at https://github.com/nfmcclure/tensorflow_cookbook.