Download or read book Andrew Glassner s Notebook written by Andrew S. Glassner and published by Morgan Kaufmann. This book was released on 1999 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a collection of 18 columns written by Andrew Glassner for Computer Graphic and Applications magazine. As well as the published material, the book includes notes and corrections to the original articles, a chapter of introduction, and additional text and graphics not originally included. Topics range from computer graphics and art, to the ethics of computers in society.
Download or read book Deep Learning written by Andrew Glassner and published by No Starch Press. This book was released on 2021-06-22 with total page 1315 pages. Available in PDF, EPUB and Kindle. Book excerpt: A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations
Download or read book Andrew Glassner s Other Notebook written by Andrew Glassner and published by CRC Press. This book was released on 2002-07-15 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here, Andrew Glassner opens his notebook and invites readers into a wide range of stimulating explorations of art, nature and computer graphics. The text is accessible and informal, alongside images illustrating topics from Celtic knotwork and lightning to soap bubbles.
Download or read book An Introduction to Ray Tracing written by Andrew S. Glassner and published by Elsevier. This book was released on 1989-06-01 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: The creation of ever more realistic 3-D images is central to the development of computer graphics. The ray tracing technique has become one of the most popular and powerful means by which photo-realistic images can now be created. The simplicity, elegance and ease of implementation makes ray tracing an essential part of understanding and exploiting state-of-the-art computer graphics.An Introduction to Ray Tracing develops from fundamental principles to advanced applications, providing "how-to" procedures as well as a detailed understanding of the scientific foundations of ray tracing. It is also richly illustrated with four-color and black-and-white plates. This is a book which will be welcomed by all concerned with modern computer graphics, image processing, and computer-aided design. - Provides practical "how-to" information - Contains high quality color plates of images created using ray tracing techniques - Progresses from a basic understanding to the advanced science and application of ray tracing
Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Download or read book Math and Architectures of Deep Learning written by Krishnendu Chaudhury and published by Simon and Schuster. This book was released on 2024-03-26 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. You'll peer inside the "black box" to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems.
Download or read book Processing for Visual Artists written by Andrew Glassner and published by CRC Press. This book was released on 2011-09-27 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: Walk with veteran author Andrew Glassner; see exactly how each of his pieces evolves, including the mistakes he's made along the way (and how to fix them!), and the times when he changed direction. As your knowledge and skills grow, you'll understand why Processing is such a powerful tool for self-expression. It offers a 21st-century medium for expressing new ideas. This book gives you everything you need to know to explore new frontiers in your own images, animations, and interactive experiences.
Download or read book Learning Deep Learning written by Magnus Ekman and published by Addison-Wesley Professional. This book was released on 2021-07-19 with total page 1106 pages. Available in PDF, EPUB and Kindle. Book excerpt: NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Download or read book Interactive Storytelling written by Andrew Glassner and published by CRC Press. This book was released on 2017-08-02 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are on the verge of creating an exciting new kind of interactive story form that will involve audiences as active participants. This book provides a solid foundation in the fundamentals of classical story structure and classical game structure and explains why it has been surprisingly difficult to bring these two activities together. With this foundation in place, the book presents several ideas for ways to move forward in this appealing quest. The author has a conversational and friendly style, making reading a pleasure.
Download or read book Programming Interactivity written by Joshua Noble and published by "O'Reilly Media, Inc.". This book was released on 2009-07-21 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make cool stuff. If you're a designer or artist without a lot of programming experience, this book will teach you to work with 2D and 3D graphics, sound, physical interaction, and electronic circuitry to create all sorts of interesting and compelling experiences -- online and off. Programming Interactivity explains programming and electrical engineering basics, and introduces three freely available tools created specifically for artists and designers: Processing, a Java-based programming language and environment for building projects on the desktop, Web, or mobile phones Arduino, a system that integrates a microcomputer prototyping board, IDE, and programming language for creating your own hardware and controls OpenFrameworks, a coding framework simplified for designers and artists, using the powerful C++ programming language BTW, you don't have to wait until you finish the book to actually make something. You'll get working code samples you can use right away, along with the background and technical information you need to design, program, build, and troubleshoot your own projects. The cutting edge design techniques and discussions with leading artists and designers will give you the tools and inspiration to let your imagination take flight.
Download or read book Graphics Gems II written by James Arvo and published by Elsevier. This book was released on 2013-10-22 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphics Gems II is a collection of articles shared by a diverse group of people that reflect ideas and approaches in graphics programming which can benefit other computer graphics programmers. This volume presents techniques for doing well-known graphics operations faster or easier. The book contains chapters devoted to topics on two-dimensional and three-dimensional geometry and algorithms, image processing, frame buffer techniques, and ray tracing techniques. The radiosity approach, matrix techniques, and numerical and programming techniques are likewise discussed. Graphics artists and computer programmers will find the book invaluable.
Download or read book Reinforcement Learning written by Phil Winder Ph.D. and published by "O'Reilly Media, Inc.". This book was released on 2020-11-06 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into a range of value and policy gradient methods Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying website
Download or read book Salsa Dancing into the Social Sciences written by Kristin Luker and published by Harvard University Press. This book was released on 2010-04-10 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: “You might think that dancing doesn’t have a lot to do with social research, and doing social research is probably why you picked this book up in the first place. But trust me. Salsa dancing is a practice as well as a metaphor for a kind of research that will make your life easier and better.” Savvy, witty, and sensible, this unique book is both a handbook for defining and completing a research project, and an astute introduction to the neglected history and changeable philosophy of modern social science. In this volume, Kristin Luker guides novice researchers in: knowing the difference between an area of interest and a research topic; defining the relevant parts of a potentially infinite research literature; mastering sampling, operationalization, and generalization; understanding which research methods best answer your questions; beating writer’s block. Most important, she shows how friendships, non-academic interests, and even salsa dancing can make for a better researcher. “You know about setting the kitchen timer and writing for only an hour, or only 15 minutes if you are feeling particularly anxious. I wrote a fairly large part of this book feeling exactly like that. If I can write an entire book 15 minutes at a time, so can you.”
Download or read book Graphics Gems written by Andrew S. Glassner and published by Princeton University Press. This book was released on 1990 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains more than 100 different ideas, methods and techniques that anyone should be able to use in graphics programming, ranging from basic geometry to specific algorithms in fields like anti-aliased line drawing, texture mapping, splines and polygon rendering.
Download or read book Overcoming Medical Phobias written by Martin Antony and published by New Harbinger Publications. This book was released on 2006-03-03 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overcome Your Fear of Doctors, Blood, Needles, and More-You Can Do It! Does even the thought of a visit to the doctor's office start your heart racing? You're not alone. Some 30 million of us have a significant fear of doctors, dentists, medical procedures, blood, needles, and so forth. These fears might already have inconvenienced you, but if you're avoiding necessary medical attention, you could be putting yourself in great physical danger. But you don't have to live with these fears anymore. This book can help you overcome your medical phobia, maybe in less time that you ever thought possible. Start by learning about your fears, where they might come from, what factors influence them, and how you can best prepare to overcome them. Then you'll gradually and safely confront your specific fears. The book also includes information about avoiding relapse so you can maintain your progress, as well as steps for helping someone you care about who suffers from a medical phobia. Learn about your fears, how they may have begun, and the methods used to treat them Prepare for treatment, either on your own or with the help of a professional Explore exposure-based strategies for overcoming your fears Learn strategies to prevent fainting Plan relapse-prevention strategies to maintain your progress Engage your family and friends as sources of support
Download or read book The Computer Graphics Manual written by David Salomon and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 1559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad overview of computer graphics (CG), its history, and the hardware tools it employs. Covering a substantial number of concepts and algorithms, the text describes the techniques, approaches, and algorithms at the core of this field. Emphasis is placed on practical design and implementation, highlighting how graphics software works, and explaining how current CG can generate and display realistic-looking objects. The mathematics is non-rigorous, with the necessary mathematical background introduced in the Appendixes. Features: includes numerous figures, examples and solved exercises; discusses the key 2D and 3D transformations, and the main types of projections; presents an extensive selection of methods, algorithms, and techniques; examines advanced techniques in CG, including the nature and properties of light and color, graphics standards and file formats, and fractals; explores the principles of image compression; describes the important input/output graphics devices.
Download or read book Golden Gulag written by Ruth Wilson Gilmore and published by Univ of California Press. This book was released on 2007-01-08 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 1980, the number of people in U.S. prisons has increased more than 450%. Despite a crime rate that has been falling steadily for decades, California has led the way in this explosion, with what a state analyst called "the biggest prison building project in the history of the world." Golden Gulag provides the first detailed explanation for that buildup by looking at how political and economic forces, ranging from global to local, conjoined to produce the prison boom. In an informed and impassioned account, Ruth Wilson Gilmore examines this issue through statewide, rural, and urban perspectives to explain how the expansion developed from surpluses of finance capital, labor, land, and state capacity. Detailing crises that hit California’s economy with particular ferocity, she argues that defeats of radical struggles, weakening of labor, and shifting patterns of capital investment have been key conditions for prison growth. The results—a vast and expensive prison system, a huge number of incarcerated young people of color, and the increase in punitive justice such as the "three strikes" law—pose profound and troubling questions for the future of California, the United States, and the world. Golden Gulag provides a rich context for this complex dilemma, and at the same time challenges many cherished assumptions about who benefits and who suffers from the state’s commitment to prison expansion.
