Deep Learning: A Visual Approach by Andrew Glassner (English) Hardcover Book

Description: Deep Learning by Andrew Glassner An accessible, highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations. Readers learn how to use key deep learning algorithms without the need for complex math. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Ever since computers began beating us at chess, theyve 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 youre ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going.The books 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 articlesHow deep learning systems learn to play and win at human gamesHow image classification systems identify objects or people in a photoHow to think about probabilities in a way thats useful to everyday lifeHow to use the machine learning techniques that form the core of modern AIIntellectual 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. Its the future of AI, and this book allows you to fully envision it.Full Color IllustrationsA richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. Youll learn how to use key deep learning algorithms without the need for complex math.Ever since computers began beating us at chess, theyve 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 Approachis 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 youre ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going.The books 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 thats useful to everyday life.How to use the machine learning techniques that form the core of modern AIIntellectual adventurers of all kinds can use the powerful ideas covered inDeep Learning- A Visual Approachto build intelligent systems that help us better understand the world and everyone who lives in it. Its the future of AI, and this book allows you to fully envision it.Full Color Illustrations Author Biography Andrew Glassner is a research scientist specializing in computer graphics and deep learning. He is currently a Senior Research Scientist at Weta Digital, where he works on integrating deep learning with the production of world-class visual effects for films and television. He has previously worked as a researcher at labs such as the IBM Watson Lab, Xerox PARC, and Microsoft Research. He was Editor in Chief of ACM TOG, the premier research journal in graphics, and Technical Papers Chair for SIGGRAPH, the premier conference in graphics. Hes written or edited a dozen technical books on computer graphics, ranging from the textbook Principles of Digital Image Synthesis to the popular Graphics Gems series, offering practical algorithms for working programmers. Glassner has a PhD in Computer Science from UNC-Chapel Hill. Table of Contents Part I: Foundational Ideas1. An Overview of Machine Learning Techniques2. Essential Statistical Ideas3. Probability4. Bayes Rule5. Curves and Surfaces6. Information TheoryPart II: Basic Machine Learning7. Classification8. Training and Testing9. Overfitting and Underfitting10. Data Preparation11. Classifiers12. EnsemblesPart III: Deep Learning Basics13. Neural Networks14. Backpropagation15. OptimizersPart IV: Beyond the Basics16. Convolutional Neural Networks17. Convnets in Practice18. Recurrent Neural Networks19. Autoencoders20. Reinforcement Learning21. Generative Adversarial Networks22. Creative ApplicationsIndex Review "Andrew is famous for his ability to teach complex topics that blend mathematics and algorithms, and this work I think is his best yet." —Peter Shirley, Distinguished Research Engineer, Nvidia "I would recommend that anyone entering this area, or even already familiar with the subject, read it cover-to-cover to firmly ground their understanding." —Richard Szeliski, author of Computer Vision: Algorithms and Applications"This is a comprehensive—yet easy to understand—book about complex concepts and algorithms. Andrew Glassner demonstrates that visualizing concepts as graphs is a tremendous benefit to easy cognition."—Thomas Frisendal, author of Graph Data Modeling for NoSQL and SQL"An absolutely amazing book in the field of Machine Learning. Lots of colored visuals make the concepts very easy to understand."—Nabeel , @nabeelhasan25"This is the best technical book Ive ever read. Im essentially speechless. Thank you, @AndrewGlassner!"—Maciej Chmielarz, @MaciejChmielarz, Software Developer Promotional An accessible, highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations. Readers learn how to use key deep learning algorithms without the need for complex math. Review Quote "For a visual person like myself, Andrews approach makes these Deep Learning concepts much more accessible than the typical algebraic treatments. Andrew is famous for his ability to teach complex topics that blend mathematics and algorithms, and this work I think is his best yet." --Peter Shirley, Distinguished Research Engineer, Nvidia Promotional "Headline" An accessible, highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations. Readers learn how to use key deep learning algorithms without the need for complex math. Description for Sales People Deep learning is everywhere - Googles search engine, voice recognition system, and self-driving cars all rely on it. Shows professionals how deep learning might be used in real-world applications. Few books on deep learning appeal to readers without a strong math background. Demonstrates concepts of deep learning visually and does not use extensive maths. Details ISBN1718500726 Author Andrew Glassner Short Title Deep Learning Language English ISBN-10 1718500726 ISBN-13 9781718500723 Format Hardcover Subtitle A Visual Approach Year 2021 Imprint No Starch Press,US Place of Publication San Francisco Country of Publication United States AU Release Date 2021-06-29 NZ Release Date 2021-06-29 US Release Date 2021-06-29 Publication Date 2021-06-29 UK Release Date 2021-06-29 Illustrator Kevin Howdeshell Birth 1954 Death 1925 Affiliation Rick Ingrasci Position Illustrator Qualifications PsyD Publisher No Starch Press,US DEWEY 006.31 Audience General Pages 768 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141763967;

Price: 147.11 AUD

Location: Melbourne

End Time: 2024-11-09T03:33:24.000Z

Shipping Cost: 0 AUD