Deep Learning and the Game of Go

Chapter 7. Learning from data: a deep-learning bot

This chapter covers

• Downloading and processing actual Go game records
• Understanding the standard format for storing Go games
• Training a deep-learning model for move prediction with such data
• Using sophisticated Go board encoders to create strong bots
• Running your own experiments and evaluating them

In the preceding chapter, you saw many essential ingredients for building a deep-learning application, and you built a few neural networks to test the tools you learned about. One of the key things you’re still missing is good data to learn from. A supervised deep neural network is only as good as the data you feed it—and so far, you’ve had only self-generated data at your disposal.

In this chapter, ...