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Machine Learning Animated

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Machine Learning Animated

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Author : Mark Liu
language : en
Publisher: CRC Press
Release Date : 2023-10-30

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 2023-10-30 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

Machine Learning Animated

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Author : Mark H. Liu
language : en
Publisher:
Release Date : 2023-12

Machine Learning Animated written by Mark H. Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12 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, Animatedeases 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

Modern Machine Learning Techniques And Their Applications In Cartoon Animation Research

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Author : Jun Yu
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-18

Modern Machine Learning Techniques And Their Applications In Cartoon Animation Research written by Jun Yu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-18 with Computers categories.

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble manifold learning; multiple kernel learning; multiview subspace learning; and multiview distance metric learning. It then presents the applications of these modern machine learning techniques in cartoon animation research. With these techniques, users can efficiently utilize the cartoon materials to generate animations in areas such as virtual reality, video games, animation films, and sport simulations

Deep Learning In Gaming And Animations

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

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 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 the reader through the fundamental ideas with expert ease. The book progresses on the topics 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, deep learning, and machine learning have changed the world in gaming and animation. It gives us a motivation that AI can also be applied in gaming, and there are limited textbooks in this area. The book we will write will comprehensively address all the aspects of AI & 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. Our book Deep Learning in Gaming and Animation teaches you how to apply the power of deep learning to build complex reasoning tasks. After exposing you to the foundations of the machine and deep learning, you will use Python to build a bot and then teach it the game's rules. We also focus 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, imag

Deep Learning Powered Image Animation

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Author : Harry Jazz
language : en
Publisher: Publishers
Release Date : 2023-05-11

Deep Learning Powered Image Animation written by Harry Jazz and has been published by Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-11 with categories.

"Deep Learning-Powered Image Animation" is an illuminating exploration of the fascinating world of image animation and its integration with cutting-edge deep learning techniques. Authored by Harry Jazz, a renowned expert in the field, this book serves as a comprehensive guide for both beginners and experienced practitioners seeking to unlock the potential of deep learning in the realm of image animation. With the explosive growth of deep learning algorithms and advancements in computer vision, the art of image animation has reached unprecedented levels of realism and creativity. In this book, Harry Jazz presents a step-by-step journey, starting from the fundamentals of deep learning, and gradually building up to sophisticated image animation techniques. The book begins with a concise overview of deep learning, providing readers with a solid foundation in neural networks, convolutional neural networks (CNNs), and generative adversarial networks (GANs). Harry Jazz goes on to discuss various methods for data preparation and augmentation, essential for training accurate and robust models for image animation. One of the highlights of the book is the in-depth exploration of key deep learning architectures used in image animation. From the classic VGGNet and ResNet to more recent advancements like U-Net and Pix2Pix, the author offers practical insights into their inner workings, strengths, and limitations. Furthermore, Harry Jazz delves into advanced topics such as facial expression transfer, pose estimation, and style transfer, providing readers with the necessary tools to create dynamic and lifelike animations. The author also addresses the challenges and ethical considerations associated with deep learning-based image animation, emphasizing the importance of responsible and inclusive practices. Packed with numerous code examples, visual illustrations, and real-world applications, "Deep Learning-Powered Image Animation" equips readers with the knowledge and skills to leverage the power of deep learning in creating captivating and realistic image animations. Whether you are an AI enthusiast, a researcher, or a practitioner in the field of computer vision, this book will serve as an invaluable resource to propel your image animation endeavors to new heights.

Machine Learning For Kids

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Author : Dale Lane
language : en
Publisher: No Starch Press
Release Date : 2021-01-19

Machine Learning For Kids written by Dale Lane and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-19 with Computers categories.

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

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

Deep Learning In Gaming And Animations

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

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.

Machine Learning For Kids

DOWNLOAD

Author : Dale Lane
language : en
Publisher: No Starch Press
Release Date : 2021-02-09

A hands-on, application-based introduction to machine learning and artificial intelligence (AI). Create compelling AI-powered games and applications using the Scratch programming language. AI Made Easy with 13 Projects Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based companion website, you’ll see how easy it is to add machine learning to your own projects. You don’t even need to know how to code! Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them. You’ll turn your models into 13 fun computer games and apps, including: A Rock, Paper, Scissors game that recognizes your hand shapes A computer character that reacts to insults and compliments An interactive virtual assistant (like Siri or Alexa) A movie recommendation app An AI version of Pac-Man There’s no experience required and step-by-step instructions make sure that anyone can follow along! No Experience Necessary! Ages 12+

Machine Learning Animated

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