January 2019
Intermediate to advanced
384 pages
13h 27m
English
This chapter covers
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 ...