Go is a strategy game played throughout eastern Asian for thousands of years. This introduction to the game presents rules, tactics, and strategies.

Summary 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, you'll 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, 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

Master the fascinating game of Go with this expert guidebook. Go is a two-player board game that first originated in ancient China but is also very popular in Japan and Korea. There is significant strategy and philosophy involved in the game, and the number of possible games is vast--even when compared to chess. Go has enthralled hundreds of millions of people in Asia, where it is an integral part of the culture. In the West, many have learned of its pleasures, especially after the game appeared in a number of hit movies, TV series, and books, and was included on major Internet game sites. By eliciting the highest powers of rational thought, the game draws players, not just for the thrills of competition, but because they feel it enhances their mental, artistic, and even spiritual lives. Go! More Than a Game is the guidebook that uses the most modern methods of teaching to learn Go, so that, in a few minutes, anyone can understand the two basic rules that generate the game. The object of Go is surrounding territory, but the problem is that while you are doing this, the opponent may be surrounding you! In a series of exciting teaching games, you will watch as Go's beautiful complexities begin to unfold in intertwining patterns of black and white stones. These games progress from small 9x9 boards to 13x13 and then to the traditional 19x19 size. Go! More Than a Game has been completely revised by the author based on new data about the history of early Go and the Confucians who wrote about it. This popular book includes updated information such as the impact of computer versions on the game, the mysterious new developments of Go combinatorics, advances in Combinatorial Game Theory and a look at the current international professional playing scene.

In this final book in the series, "the rightful emperor is lost; illness and murder give rise to suspicions and make enemies of allies. Unrest rules the country. Only Shika can end the madness by returning the Lotus Throne to its rightful ruler"--Amazon.com.

Go is an ancient, subtly beautiful game of territory. But with its nearly endless possibilities and challenges, it is more than just another game; it is a way of life for tens of millions of players throughout the world. Embodying four thousand years of Oriental thought and culture, go is the oldest game in the world still played in its original form. Go is the kind of game that one can learn in a day—and spend a lifetime perfecting. It is more art than science: in order to surround and capture the opponent's territory, one needs intuition, flexibility, and acute perception combined with a sharp analytical mind. Each player is a partner in an exercise of coexistence; each player needs the other for self-enlightenment and for enjoyment. But then, too, go is a game whose strategy has been compared to the tactics of guerilla warfare. Go can be all things to all people; it is simple, elegant, and unexpectedly beautiful. This book contains an introduction; a brief example game; a clear, leisurely explanation of the rules; and illustrations of the simplest techniques of good play and of some easy and some more difficult problems the player will encounter. The appendixes include a concise list of rules, a glossary of technical terms, and a list of international and American go organizations. Among go players, Go for Beginners is known as the best beginner's book available.

Passing from China, where it was developed over 3,000 years ago, to Japan, where it today commands a vast and enthusiastic following, Go is probably the oldest intellectual game in the world. Similar to chess, it leaves nothing to chance, requiring great strategy and carefully plotted campaigns to achieve an impregnable position, block enemies from lines of communication and win a series of battles. To penetrate this complicated, challenging game requires a great guide— and this is it. Unsurpassable in its clarity and comprehensiveness, The Game of Go has been the classic guide to the game since it was first published in 1956.

The Game of Go by Arthur Smith (1870-1929), first published in 1908. This book is intended as a practical guide to the game of Go. It is especially designed to assist students of the game who have acquired a smattering of it in some way and who wish to investigate it further at their leisure. Go (Chinese: weiqi, Japanese: igo, Korean: baduk, Vietnamese: cờ vây, common meaning: "encircling game") is a board game for two players that originated in China more than 2,500 years ago. The game is noted for being rich in strategy despite its relatively simple rules. According to chess master Emanuel Lasker: "The rules of Go are so elegant, organic, and rigorously logical that if intelligent life forms exist elsewhere in the universe, they almost certainly play Go."