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.

Ai For Games And Animation

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Author : John David Funge
language : en
Publisher: CRC Press
Release Date : 1999-07-22

Ai For Games And Animation written by John David Funge and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-07-22 with Computers categories.

John Funge introduces a new approach to creating autonomous characters. Cognitive modeling provides computer-animated characters with logic, reasoning, and planning skills. Individual chapters in the book provide concrete examples of advanced character animation, automated cinematography, and a real-time computer game. Source code, animations, images, and other resources are available at the book's website, listed below.

Machine Learning Animated

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Author : Mark Liu
language : en
Publisher: CRC Press
Release Date : 2023-10-31

Machine Learning Animated written by Mark Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Computers categories.

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step, to the final converged parameters and predictions. This book teaches readers to create their own neural networks with dense and convolutional layers, and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning, witnessing AI achieve super-human performance in Atari games such as Breakout, Space Invaders, Seaquest and Beam Rider. Written in a clear and concise style, illustrated with animations and images, this book is particularly appealing to readers with no background in computer science, mathematics or statistics. Access the book's repository at: https://github.com/markhliu/MLA

Hands On Deep Learning For Games

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Author : Micheal Lanham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-30

Hands On Deep 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 2019-03-30 with Computers categories.

Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key FeaturesApply the power of deep learning to complex reasoning tasks by building a Game AIExploit the most recent developments in machine learning and AI for building smart gamesImplement deep learning models and neural networks with PythonBook Description The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron’s to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments. As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning. What you will learnLearn the foundations of neural networks and deep learning.Use advanced neural network architectures in applications to create music, textures, self driving cars and chatbots. Understand the basics of reinforcement and DRL and how to apply it to solve a variety of problems.Working with Unity ML-Agents toolkit and how to install, setup and run the kit.Understand core concepts of DRL and the differences between discrete and continuous action environments.Use several advanced forms of learning in various scenarios from developing agents to testing games.Who this book is for This books is for game developers who wish to create highly interactive games by leveraging the power of machine and deep learning. No prior knowledge of machine learning, deep learning or neural networks is required this book will teach those concepts from scratch. A good understanding of Python is required.

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).

Ai Game Programming Wisdom 3

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Author : Steve Rabin
language : en
Publisher:
Release Date : 2006

Ai Game Programming Wisdom 3 written by Steve Rabin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

This all-new volume is filled with over 60 new, ready-to-use expert techniques, ideas, and solutions for game developers.

Artificial Intelligence For Computer Games

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Author : John David Funge
language : en
Publisher: CRC Press
Release Date : 2004-07-29

Artificial Intelligence For Computer Games written by John David Funge and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-29 with Computers categories.

Learn to make games that are more fun and engaging! Building on fundamental principles of Artificial Intelligence, Funge explains how to create Non-Player Characters (NPCs) with progressively more sophisticated capabilities. Starting with the basic capability of acting in the game world, the book explains how to develop NPCs who can perceive, remem

Game Programming Gems 6

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Author : Michael Dickheiser
language : en
Publisher:
Release Date : 2006

Game Programming Gems 6 written by Michael Dickheiser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

One CD-ROM disc in pocket.

General Catalog University Of California Santa Cruz

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Author : University of California, Santa Cruz
language : en
Publisher:
Release Date : 2008

General Catalog University Of California Santa Cruz written by University of California, Santa Cruz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.

Learning Game Ai Programming With Lua

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Author : David Young
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-11-28

Learning Game Ai Programming With Lua written by David Young 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 2014-11-28 with Computers categories.

If you are a game developer or a general programmer who wishes to focus on programming systems and techniques to build your game AI without creating low-level interfaces in a game engine, then this book is for you. Knowledge of C++ will come in handy to debug the entirety of the AI sandbox and expand on the features present within the book, but it is not required.