Deep Learning and the Game of Go

Max Pumperla, Kevin Ferguson

  • 出版商: Manning
  • 出版日期: 2019-01-25
  • 定價: $1,720
  • 售價: 9.5$1,634
  • 貴賓價: 9.0$1,548
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Paperback
  • ISBN: 1617295329
  • ISBN-13: 9781617295324
  • 相關分類: DeepLearning 深度學習
  • 相關翻譯: 深度學習與圍棋 (簡中版)
  • 立即出貨






Using the game of Go as a way to teach machine learning is inspired and inspiring. Highly recommended!

-  Burk Hufnagel, Daugherty Business Solutions


Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of the machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.

about the technology

The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning–based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot!

about the book

Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you’ll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You’ll enjoy watching your bot master the game of Go, and along the way, you’ll discover how to apply your new deep learning skills to a wide range of other scenarios!

what's inside

  • Build and teach a self-improving game AI
  • Enhance classical game AI systems with deep learning
  • Implement neural networks for deep learning

about the reader

All you need are basic Python skills and high school–level math. No deep learning experience required.

about the authors

Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo.