Skip to Main Content
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 1. Toward deep learning: a machine-learning introduction

This chapter covers:

  • Machine learning and its differences from traditional programming
  • Problems that can and can’t be solved with machine learning
  • Machine learning’s relationship to artificial intelligence
  • The structure of a machine-learning system
  • Disciplines of machine learning

As long as computers have existed, programmers have been interested in artificial intelligence (AI): implementing human-like behavior on a computer. Games have long been a popular subject for AI researchers. During the personal computer era, AIs have overtaken humans at checkers, backgammon, chess, and almost all classic board games. But the ancient strategy game Go remained stubbornly out of reach ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Deep Learning

Deep Learning

Andrew Glassner
Deep Learning with PyTorch

Deep Learning with PyTorch

Eli Stevens, Thomas Viehmann, Luca Pietro Giovanni Antiga

Publisher Resources

ISBN: 9781617295324Supplemental ContentPublisher SupportOtherPublisher WebsitePurchase Link