Deep Learning In Gaming And Animations

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Deep Learning In Gaming And Animations

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Author : Vikas Chaudhary
language : en
Publisher: CRC Press
Release Date : 2021-12-07

Deep Learning In Gaming And Animations written by Vikas Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.

Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of these systems are now available to the programmer via a range of so-called cognitive services. More recently, deep reinforcement learning has achieved ground-breaking success in several complex challenges. This book makes an enormous contribution to this beautiful, vibrant area of study: an area that is developing rapidly both in breadth and depth. Deep learning can cope with a broader range of tasks (and perform those tasks to increasing levels of excellence). This book lays a good foundation for the core concepts and principles of deep learning in gaming and animation, walking you through the fundamental ideas with expert ease. This book progresses in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how artificial intelligence (AI), deep learning, and machine learning have changed the world in gaming and animation. It gives us the idea that AI can also be applied in gaming, and there are limited textbooks in this area. This book comprehensively addresses all the aspects of AI and deep learning in gaming. Also, each chapter follows a similar structure so that students, teachers, and industry experts can orientate themselves within the text. There are few books in the field of gaming using AI. Deep Learning in Gaming and Animations teaches you how to apply the power of deep learning to build complex reasoning tasks. After being exposed to the foundations of machine and deep learning, you will use Python to build a bot and then teach it the game's rules. This book also focuses on how different technologies have revolutionized gaming and animation with various illustrations.

Deep Learning In Gaming And Animations

DOWNLOAD
Author : Vikas Chaudhary
language : en
Publisher: CRC Press
Release Date : 2021-12-07

Deep Learning In Gaming And Animations written by Vikas Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.

Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of these systems are now available to the programmer via a range of so-called cognitive services. More recently, deep reinforcement learning has achieved ground-breaking success in several complex challenges. This book makes an enormous contribution to this beautiful, vibrant area of study: an area that is developing rapidly both in breadth and depth. Deep learning can cope with a broader range of tasks (and perform those tasks to increasing levels of excellence). This book lays a good foundation for the core concepts and principles of deep learning in gaming and animation, walking you through the fundamental ideas with expert ease. This book progresses in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how artificial intelligence (AI), deep learning, and machine learning have changed the world in gaming and animation. It gives us the idea that AI can also be applied in gaming, and there are limited textbooks in this area. This book comprehensively addresses all the aspects of AI and deep learning in gaming. Also, each chapter follows a similar structure so that students, teachers, and industry experts can orientate themselves within the text. There are few books in the field of gaming using AI. Deep Learning in Gaming and Animations teaches you how to apply the power of deep learning to build complex reasoning tasks. After being exposed to the foundations of machine and deep learning, you will use Python to build a bot and then teach it the game's rules. This book also focuses on how different technologies have revolutionized gaming and animation with various illustrations.

Ai For Games

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Author : Ian Millington
language : en
Publisher: CRC Press
Release Date : 2021-11-15

Ai For Games written by Ian Millington and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-15 with Computers categories.

What is artificial intelligence? How is artificial intelligence used in game development? Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help you understand one element of game development: artificial intelligence (AI).

Artificial Intelligence And Games

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Author : Georgios N. Yannakakis
language : en
Publisher: Springer
Release Date : 2018-02-17

Artificial Intelligence And Games written by Georgios N. Yannakakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-17 with Computers categories.

This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.

Hands On Reinforcement Learning For Games

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Author : Micheal Lanham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-03

Hands On Reinforcement Learning For Games written by Micheal Lanham and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.

Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key FeaturesGet to grips with the different reinforcement and DRL algorithms for game developmentLearn how to implement components such as artificial agents, map and level generation, and audio generationGain insights into cutting-edge RL research and understand how it is similar to artificial general researchBook Description With the increased presence of AI in the gaming industry, developers are challenged to create highly responsive and adaptive games by integrating artificial intelligence into their projects. This book is your guide to learning how various reinforcement learning techniques and algorithms play an important role in game development with Python. Starting with the basics, this book will help you build a strong foundation in reinforcement learning for game development. Each chapter will assist you in implementing different reinforcement learning techniques, such as Markov decision processes (MDPs), Q-learning, actor-critic methods, SARSA, and deterministic policy gradient algorithms, to build logical self-learning agents. Learning these techniques will enhance your game development skills and add a variety of features to improve your game agent’s productivity. As you advance, you’ll understand how deep reinforcement learning (DRL) techniques can be used to devise strategies to help agents learn from their actions and build engaging games. By the end of this book, you’ll be ready to apply reinforcement learning techniques to build a variety of projects and contribute to open source applications. What you will learnUnderstand how deep learning can be integrated into an RL agentExplore basic to advanced algorithms commonly used in game developmentBuild agents that can learn and solve problems in all types of environmentsTrain a Deep Q-Network (DQN) agent to solve the CartPole balancing problemDevelop game AI agents by understanding the mechanism behind complex AIIntegrate all the concepts learned into new projects or gaming agentsWho this book is for If you’re a game developer looking to implement AI techniques to build next-generation games from scratch, this book is for you. Machine learning and deep learning practitioners, and RL researchers who want to understand how to use self-learning agents in the game domain will also find this book useful. Knowledge of game development and Python programming experience are required.

General Video Game Artificial Intelligence

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Author : Diego Pérez Liébana
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

General Video Game Artificial Intelligence written by Diego Pérez Liébana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.

Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates. The present book, written by the developers and organizers of the framework, presents the most interesting highlights of the research performed by the authors duringthese years in this domain. It showcases work on methods to play the games, generators of content, and video game optimization. It also outlines potential further work in an area that offers multiple research directions for the future.

Core Html5 Canvas

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Author : David Geary
language : en
Publisher: Pearson Education
Release Date : 2012-05-14

Core Html5 Canvas written by David Geary and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-14 with Computers categories.

One of HTML5’s most exciting features, Canvas provides a powerful 2D graphics API that lets you implement everything from word processors to video games. In Core HTML5 Canvas, best-selling author David Geary presents a code-fueled, no-nonsense deep dive into that API, covering everything you need to know to implement rich and consistent web applications that run on a wide variety of operating systems and devices. Succinctly and clearly written, this book examines dozens of real-world uses of the Canvas API, such as interactively drawing and manipulating shapes, saving and restoring the drawing surface to temporarily draw shapes and text, and implementing text controls. You’ll see how to keep your applications responsive with web workers when you filter images, how to implement smooth animations, and how to create layered, 3D scrolling backgrounds with parallax. In addition, you’ll see how to implement video games with extensive coverage of sprites, physics, collision detection, and the implementation of a game engine and an industrial-strength pinball game. The book concludes by showing you how to implement Canvas-based controls that you can use in any HTML5 application and how to use Canvas on mobile devices, including iOS5. This authoritative Canvas reference covers The canvas element—using it with other HTML elements, handling events, printing a canvas, and using offscreen canvases Shapes—drawing, dragging, erasing, and editing lines, arcs, circles, curves, and polygons; using shadows, gradients, and patterns Text—drawing, positioning, setting font properties; building text controls Images—drawing, scaling, clipping, processing, and animating Animations—creating smooth, efficient, and portable animations Sprites—implementing animated objects that have painters and behaviors Physics—modeling physical systems (falling bodies, pendulums, and projectiles), and implementing tweening for nonlinear motion and animation Collision detection—advanced techniques, clearly explained Game development—all aspects of game development, such as time-based motion and high score support, implemented in a game engine Custom controls—infrastructure for implementing custom controls; implementing progress bars, sliders, and an image panner Mobile applications—fitting Canvas apps on a mobile screen, using media queries, handling touch events, and specifying iOS5 artifacts, such as app icons Throughout the book, Geary discusses high-quality, reusable code to help professional developers learn everything they really need to know, with no unnecessary verbiage. All of the book’s code and live demonstrations of key techniques are available at corehtml5canvas.com.

Advances In Machine Learning Research And Application 2013 Edition

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Author :
language : en
Publisher: ScholarlyEditions
Release Date : 2013-06-21

Advances In Machine Learning Research And Application 2013 Edition written by and has been published by ScholarlyEditions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-21 with Computers categories.

Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Artificial Intelligence And Contemporary Media

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Author : Dr. Moon Jana, Dr. Shourini Banerjee
language : en
Publisher: Notion Press
Release Date : 2025-06-13

Artificial Intelligence And Contemporary Media written by Dr. Moon Jana, Dr. Shourini Banerjee and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.

Artificial Intelligence plays a pivotal role in transitioning from generic, uniform content to personalised experiences tailored for individualistic approach. Utilising sophisticated algorithms, AI platforms analyse user sentiments, behaviours and engagement patterns to curate tailored content, news feed, videos, articles and advertisements. This book aims at understanding different viewpoints from authors on Artificial Intelligence, technology and the contemporary media scenario.

Ai And The Future How Smart Technology Is Changing Our Lives

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Author : Margaret Light
language : en
Publisher: Margaret Light
Release Date : 2025-02-20

Ai And The Future How Smart Technology Is Changing Our Lives written by Margaret Light and has been published by Margaret Light this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.

AI and the Future: How Smart Technology is Changing Our Lives explores the profound impact of artificial intelligence on society, work, and daily life. From revolutionising industries to reshaping human interactions, AI is transforming the way people live, think, and innovate. This book delves into the benefits and challenges of AI, examining its role in automation, creativity, ethics, and the future job market. It offers insights into how individuals can adapt, thrive, and harness AI’s potential responsibly. As technology continues to evolve, this book provides a roadmap for navigating an AI-driven world with knowledge, adaptability, and ethical awareness.