Deep Learning Game by Pumperla Max (26 results)

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Condition: Very Good. 380 pp., paperback, crease to the front cover, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

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Paperback. Condition: Brand New. 350 pages. 9.00x7.25x0.75 inches. In Stock.

Condition: New. &Uumlber den AutorMax 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 Fergu.

Taschenbuch. Condition: Neu. Neuware - SummaryDeep 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, you'll use Python to build a bot and then teach it the rules of the game.Foreword by Thore Graepel, DeepMindAbout the TechnologyThe 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 BookDeep 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 learningAbout the ReaderAll you need are basic Python skills and high school-level math. No deep learning experience required.About the AuthorMax 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 ContentsPART 1 - FOUNDATIONS- Toward deep learning: a machine-learning introduction- Go as a machine-learning problem- Implementing your first Go botPART 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 methodsPART 3 - GREATER THAN THE SUM OF ITS PARTS- AlphaGo: Bringing it all together- AlphaGo Zero: Integrating tree search with reinforcement learning.…