Deep Learning and the Game of Go

Chapter 6. Designing a neural network for Go data

This chapter covers

• Building a deep-learning application that can predict the next Go move from data
• Introducing the Keras deep-learning framework
• Understanding convolutional neural networks
• Building neural networks to analyze spatial Go data

In the preceding chapter, you saw the fundamental principles of neural networks in action and implemented feed-forward networks from scratch. In this chapter, you’ll turn your attention back to the game of Go and tackle the problem of how to use deep-learning techniques to predict the next move for any given board situation of a Go game. In particular, you’ll generate Go game data with tree-search techniques developed in chapter 4 that you can then use ...