Deep Learning and the Game of Go Paperback – 25 January 2019

Product details

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 Author

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.

Table of Contents

PART 1 – FOUNDATIONS

• Toward deep learning: a machine-learning introduction
• Go as a machine-learning problem
• Implementing your first Go bot

PART 2 – MACHINE LEARNING AND GAME AI

• Playing games with tree search
• Getting started with neural networks
• Designing a neural network for Go data
• Learning from data: a deep-learning bot
• Deploying bots in the wild
• Learning by practice: reinforcement learning
• Reinforcement learning with policy gradients
• Reinforcement learning with value methods
• Reinforcement learning with actor-critic methods

PART 3 – GREATER THAN THE SUM OF ITS PARTS

• AlphaGo: Bringing it all together
• AlphaGo Zero: Integrating tree search with reinforcement learning