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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 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 ...

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