Deep Learning and the Game of Go

No deep learning experience required. All you need is high school level math and basic Python skills. This book even teaches you how to play Go!

• Getting started with neural networks
• Building your Go AI
• Improving how your Go-bot plays and reacts

Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine.

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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!

It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game.

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!

You will

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