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DescriptionSummary 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 machine and deep learning, youll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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, youll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. Youll enjoy watching your bot master the game of Go, and along the way, youll discover how to apply your new deep learning skills to a wide range of other scenarios Whats inside Build and teach a self-improving game AIEnhance classical game AI systems with deep learningImplement 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 - FOUNDATIONSToward deep learning: a machine-learning introductionGo as a machine-learning problemImplementing your first Go botPART 2 - MACHINE LEARNING AND GAME AIPlaying games with tree searchGetting started with neural networksDesigning a neural network for Go dataLearning from data: a deep-learning botDeploying bots in the wildLearning by practice: reinforcement learningReinforcement learning with policy gradientsReinforcement learning with value methodsReinforcement learning with actor-critic methodsPART 3 - GREATER THAN THE SUM OF ITS PARTSAlphaGo: Bringing it all togetherAlphaGo Zero: Integrating tree search with reinforcement learning About the AuthorMax Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the co-founder of the Deep Learning platform aetros.com.Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo.
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Vânzător: Elefant.ro
Brand: Manning Publications
