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Deep Learning and the Game of Go
book

Deep Learning and the Game of Go

by Kevin Ferguson, Max Pumperla
January 2019
Intermediate to advanced content levelIntermediate to advanced
384 pages
13h 27m
English
Manning Publications
Content preview from 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, ...

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