Neural Networks For Chess

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Neural Networks For Chess

Author : Dominik Klein
Publisher : Independently Published
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.4/5 (858 download)

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Book Synopsis Neural Networks For Chess by : Dominik Klein

Download or read book Neural Networks For Chess written by Dominik Klein and published by Independently Published. This book was released on 2021-09-28 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Neural Networks have revolutionized computer engines for Go, Shogi and chess. Finally computers are able to evaluate a game position similiar to the way human experts do it. By that, computers are able to identify long-term strategic advantages and disadvantages. But how do chess engines based on neural networks such as AlphaZero, Leela Chess Zero actually work? This book gives an answer to that question. With lots of practical examples and illustrations, all basic building blocks that are required to understand modern chess are introduced. Based on that, the concepts of both classic and modern chess engines are explained. Finally, a miniature version of AlphaZero to play the game Hexapawn is implemented in Python. Chapters include: Single-Layer and Multilayer Perceptrons, Back-Propagation and Gradient Descent, Classification and Regression, Network Vectorization, Convolutional Layers, Squeeze and Excitation Networks, Fully Connected Layers, Batch Normalization, Rectified Linear Unit (ReLU), Residual Layers, Minimax, Alpha-Beta Search, Monte-Carlo Tree Search, AlphaGo, AlphaGo Zero, AlphaZero, Leela Chess Zero (Lc0), Fat Fritz, Effectively Updateable Neural Networks, Fat Fritz 2, Maia, Supervised Learning Hexapawn, Reinforcement Learning of Hexapawn (Hexapawn Zero)

The AI Revolution in Chess

Author : Joshua Doknjas
Publisher : Everyman Chess
ISBN 13 : 1781945993
Total Pages : 624 pages
Book Rating : 4.7/5 (819 download)

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Book Synopsis The AI Revolution in Chess by : Joshua Doknjas

Download or read book The AI Revolution in Chess written by Joshua Doknjas and published by Everyman Chess. This book was released on with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2018 DeepMind published the shocking results of their chess-playing artificial intelligence software, AlphaZero. Chess players looked in disbelief and immediately wondered how AI would affect the future of chess. Less than a year later, a whole new wave of chess engines emerged that were based on using neural networks to evaluate positions in a completely new way. This book is about the extraordinary impact that AI has had on modern chess. The games of top chess players since the end of 2018 have reflected the use of these new engines in home analysis. They have significantly developed opening theory as well as the general understanding of middlegame concepts. By analysing these games with the help of neural network engines, FIDE Master Joshua Doknjas discusses numerous exciting ideas and examines areas of chess that had previously been overlooked. With thorough explanations, questions, and exercises, this book provides fascinating material for masters and less experienced players alike.

Blondie24

Author : David B. Fogel
Publisher : Morgan Kaufmann
ISBN 13 : 9781558607835
Total Pages : 430 pages
Book Rating : 4.6/5 (78 download)

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Book Synopsis Blondie24 by : David B. Fogel

Download or read book Blondie24 written by David B. Fogel and published by Morgan Kaufmann. This book was released on 2002 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how a computer, by replicating the processes of Darwinian evolution, taught itself to play checkers far better than its creators could have programmed it to play. Fogel (editor, IEEE Transactions on Evolutionary Computation) considers the implications for evolutionary computations and artificial intelligence. Diagrams illustrate the evolutionary and computational processes at work, and the course of various games of checkers. Annotation copyrighted by Book News, Inc., Portland, OR.

Neural Networks to Play Chess

Author : Mikael Lars Sjolen
Publisher :
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (374 download)

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Book Synopsis Neural Networks to Play Chess by : Mikael Lars Sjolen

Download or read book Neural Networks to Play Chess written by Mikael Lars Sjolen and published by . This book was released on 1993 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Silicon Road to Chess Improvement

Author : Matthew Sadler
Publisher : New In Chess
ISBN 13 : 9056919849
Total Pages : 982 pages
Book Rating : 4.0/5 (569 download)

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Book Synopsis The Silicon Road to Chess Improvement by : Matthew Sadler

Download or read book The Silicon Road to Chess Improvement written by Matthew Sadler and published by New In Chess. This book was released on 2021-11-13 with total page 982 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘How can I learn from AlphaZero’s games, aren’t they too advanced for me?’ many club players asked Matthew Sadler after reading his and Natasha Regan’s groundbreaking Game Changer. Here is the answer: you may not be able to replicate their dazzling deep calculations, but every chess player, from club level up, can improve their game by using engines. You will probably be surprised, there is so much more your engine can do for you than just checking and calculating variations! In this thought-provoking new book, based on many years of working with the world’s best chess software, Sadler presents a unique set of methods to work out using your engine. He shows how in your opening preparation, instead of sifting through masses of computer analysis you should play matches against your engine. He also explains how to train your early middlegame play, the conversion of advantages, your positional play, and your defence. And of course: how to analyse your own games. These generic training methods Sadler supplements with concrete middlegame and opening tools. He explains how the top engines tackle crucial middlegame themes such as entrenched pieces, whole board play, ‘attacking rhythm’, exchanging pieces, the march of the Rook’s pawn, queen versus pieces, and many others. He also opens your eyes to typical scenarios that the engines found and fine-tuned in popular openings such as the King’s Indian, the Grünfeld, the Slav, the French and the Sicilian. Sadler illustrates his lessons with a collection of fantastic games, explained with his trademark enthusiasm. For the first time the superhuman powers of the chess engine have been decoded to the benefit of all players, in a rich and highly instructive book.

Game Changer

Author : Matthew Sadler
Publisher : New In Chess,Csi
ISBN 13 : 9789056918187
Total Pages : 0 pages
Book Rating : 4.9/5 (181 download)

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Book Synopsis Game Changer by : Matthew Sadler

Download or read book Game Changer written by Matthew Sadler and published by New In Chess,Csi. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the story behind the self-learning artificial intelligence system with its stunning chess skills

Learn to Play Chess Like a Boss

Author : Patrick Wolff
Publisher : Penguin
ISBN 13 : 1465492232
Total Pages : 758 pages
Book Rating : 4.4/5 (654 download)

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Book Synopsis Learn to Play Chess Like a Boss by : Patrick Wolff

Download or read book Learn to Play Chess Like a Boss written by Patrick Wolff and published by Penguin. This book was released on 2019-09-17 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stop playing like a pawn and start playing like the king You already know just how enjoyable--and and challenging--the game of chess can be. For those who play, chess leads to a lifetime of fun. But how do you make the first move to learn the rules and transform from a pawn to a king? The path to a perfect checkmate is in your hands! In the pages of this book, you'll find an introduction to all the chess pieces including their strengths and weaknesses, tips on how to protect your pieces and prevent their capture, and guidance on when to attack and defend like a boss. You'll also find a bonus tear-out card to take your new tactics on the go!

Deep Thinking

Author : Garry Kasparov
Publisher : PublicAffairs
ISBN 13 : 1610397878
Total Pages : 304 pages
Book Rating : 4.6/5 (13 download)

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Book Synopsis Deep Thinking by : Garry Kasparov

Download or read book Deep Thinking written by Garry Kasparov and published by PublicAffairs. This book was released on 2017-05-02 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.

Kaufman's New Repertoire for Black and White

Author : Larry Kaufmann
Publisher : New In Chess,Csi
ISBN 13 : 9789056918620
Total Pages : 464 pages
Book Rating : 4.9/5 (186 download)

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Book Synopsis Kaufman's New Repertoire for Black and White by : Larry Kaufmann

Download or read book Kaufman's New Repertoire for Black and White written by Larry Kaufmann and published by New In Chess,Csi. This book was released on 2019-10-28 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seven years after his acclaimed and bestselling The Kaufman Repertoire for Black and White, Grandmaster Larry Kaufman is back with his new repertoire book, covering the entire scope of chess openings for both White and Black, in one volume. Two important developments made this book necessary. Larry Kaufman, who himself routinely plays the lines he advocates to others, discovered that after 1.d4 (the recommendation in his previous book) it became nearly impossible to show a consistent advantage for White, especially against Grunfeld and Nimzo/Ragozin defenses. The other factor was that chess engines have become so much stronger. Larry Kaufman presents a completely new White repertoire with 1.e4 aiming for an objective advantage in the simplest practical manner. You are presented with two options, while you don't have to play the sharpest lines. The Black repertoire has been thoroughly revised and updated, and three new chapters have been added.Kaufman's New Repertoire for Black and White is the first opening book that is primarily based on Monte Carlo search. The highly original analysis has resulted in loads of improvements on existing theory. This is a lucidly explained, ready-to-go and easy-to-digest repertoire with sound, practical lines that do not outdate rapidly and are suitable for masters while perfectly accessible for amateurs.

Deep Learning and the Game of Go

Author : Kevin Ferguson
Publisher : Simon and Schuster
ISBN 13 : 1638354014
Total Pages : 611 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning and the Game of Go by : Kevin Ferguson

Download or read book Deep Learning and the Game of Go written by Kevin Ferguson and published by Simon and Schuster. This book was released on 2019-01-06 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Agent-based Reactive Game Playing

Author : Jonathan Karon
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (377 download)

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Book Synopsis Agent-based Reactive Game Playing by : Jonathan Karon

Download or read book Agent-based Reactive Game Playing written by Jonathan Karon and published by . This book was released on 1997 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Joy of Chess Programming

Author : F. M. Bill Jordan
Publisher : Independently Published
ISBN 13 : 9781707113026
Total Pages : 144 pages
Book Rating : 4.1/5 (13 download)

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Book Synopsis The Joy of Chess Programming by : F. M. Bill Jordan

Download or read book The Joy of Chess Programming written by F. M. Bill Jordan and published by Independently Published. This book was released on 2019-11-11 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Joy of Chess Programming This is a memoir of my experiences with creating my own chess engine. It begins with first experiences with computer chess from books, magazines, movies and dedicated chess computers. It progresses to when I had enough knowledge to write an amateur engine and was able to compete in computer chess tournaments. Eventually my engine was strong enough to reach about 2400 ELO strength. It is able to find Bobby Fischer's ...Be6 in the famous Game of the Century in a fraction of a second. It gives insights into how chess engines work and how they select a move. There are numerous tips on how we human players can learn from how computers play. There are a number of reasons why you may be interested in how a chess program is written. If so, you may be interested in my bookHow to Write a Chess Program. I have another book on computer chess called Think Like a Computer which includes a number of games with engines playing engines at a shallow depth. This illustrates how engines evaluate positions.

Neural Network Evaluation of Positions in the Game of Chess

Author : Charles Ray Stephenson
Publisher :
ISBN 13 :
Total Pages : 75 pages
Book Rating : 4.:/5 (353 download)

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Book Synopsis Neural Network Evaluation of Positions in the Game of Chess by : Charles Ray Stephenson

Download or read book Neural Network Evaluation of Positions in the Game of Chess written by Charles Ray Stephenson and published by . This book was released on 1995 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning for Robot Perception and Cognition

Author : Alexandros Iosifidis
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Artificial Neural Networks and Machine Learning – ICANN 2016

Author : Alessandro E.P. Villa
Publisher : Springer
ISBN 13 : 3319447785
Total Pages : 585 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2016 by : Alessandro E.P. Villa

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2016 written by Alessandro E.P. Villa and published by Springer. This book was released on 2016-08-26 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.

Computer Chess

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Computer Chess by : Fouad Sabry

Download or read book Computer Chess written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-04 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Computer Chess Hardware and software that are both able to play the game of chess are required for computer chess. The game of chess played on a computer offers players the chance to develop their skills even when they do not have human opponents to compete against. It also offers options for analysis, amusement, and training. Applications for computer chess that can play at a level equivalent to or higher than that of a chess master are available for hardware ranging from supercomputers to smart phones. There are other chess-playing machines that are available on their own. Free and open-source software like Stockfish, GNU Chess, and Fruit are all downloadable for a variety of computer operating systems. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Computer Chess Chapter 2: Artificial Intelligence Projects Chapter 3: Deep Blue (Chess Computer) Chapter 4: Chess Engine Chapter 5: Evaluation Function Chapter 6: Endgame Tablebase Chapter 7: Human-Computer Chess Matches Chapter 8: Stockfish (Chess) Chapter 9: AlphaZero Chapter 10: Leela Chess Zero (II) Answering the public top questions about computer chess. (III) Real world examples for the usage of computer chess in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computer chess. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.