{"product_id":"deep-learning-and-the-game-of-go-paperback","title":"Deep Learning and the Game of Go - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMax Pumperla\u003c\/b\u003e (Author), \u003cb\u003eKevin Ferguson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSummary\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ci\u003eDeep Learning and the Game of Go\u003c\/i\u003e 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. \u003cp\u003e\u003c\/p\u003eForeword by Thore Graepel, DeepMind \u003cp\u003e\u003c\/p\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eThe 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! \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003ci\u003eDeep Learning and the Game of Go\u003c\/i\u003e 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! \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild and teach a self-improving game AI\u003c\/li\u003e\n\u003cli\u003eEnhance classical game AI systems with deep learning\u003c\/li\u003e\n\u003cli\u003eImplement neural networks for deep learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eAbout the Reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eAll you need are basic Python skills and high school-level math. No deep learning experience required. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eMax Pumperla\u003c\/b\u003e and \u003cb\u003eKevin Ferguson\u003c\/b\u003e are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003col\u003ePART 1 - FOUNDATIONS\u003cli\u003eToward deep learning: a machine-learning introduction\u003c\/li\u003e\n\u003cli\u003eGo as a machine-learning problem\u003c\/li\u003e\n\u003cli\u003eImplementing your first Go bot\u003c\/li\u003ePART 2 - MACHINE LEARNING AND GAME AI\u003cli\u003ePlaying games with tree search\u003c\/li\u003e\n\u003cli\u003eGetting started with neural networks\u003c\/li\u003e\n\u003cli\u003eDesigning a neural network for Go data\u003c\/li\u003e\n\u003cli\u003eLearning from data: a deep-learning bot\u003c\/li\u003e\n\u003cli\u003eDeploying bots in the wild\u003c\/li\u003e\n\u003cli\u003eLearning by practice: reinforcement learning\u003c\/li\u003e\n\u003cli\u003eReinforcement learning with policy gradients\u003c\/li\u003e\n\u003cli\u003eReinforcement learning with value methods\u003c\/li\u003e\n\u003cli\u003eReinforcement learning with actor-critic methods\u003c\/li\u003ePART 3 - GREATER THAN THE SUM OF ITS PARTS\u003cli\u003eAlphaGo: Bringing it all together\u003c\/li\u003e\n\u003cli\u003eAlphaGo Zero: Integrating tree search with reinforcement learning\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eMax Pumperla\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eKevin Ferguson\u003c\/b\u003e 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.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 384\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.1 x 7.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 25, 2019\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43159567138879,"sku":"9781617295324","price":65.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/nDNwGnM-I99781617295324.webp?v=1776999757","url":"https:\/\/dhlswag.com\/products\/deep-learning-and-the-game-of-go-paperback","provider":"BBB","version":"1.0","type":"link"}