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  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Morgan Kaufmann | Boston, MA : Safari
    ISBN: 9780080507538
    Sprache: Englisch
    Seiten: 1 online resource (864 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: "The GRAPHICS GEMS Series" was started in 1990 by Andrew Glassner. The vision and purpose of the Series was - and still is - to provide tips, techniques, and algorithms for graphics programmers. All of the gems are written by programmers who work in the field and are motivated by a common desire to share interesting ideas and tools with their colleagues. Each volume provides a new set of innovative solutions to a variety of programming problems.
    Anmerkung: Online resource; Title from title page (viewed October 22, 2013) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    San Francisco : Morgan Kaufmann Publishers
    ISBN: 9780080514758 , 0080514758
    Sprache: Englisch
    Seiten: 1 online resource.
    Paralleltitel: Erscheint auch als
    DDC: 006.6
    Schlagwort(e): Computer graphics ; Image processing Digital techniques ; Infographie ; Traitement d'images ; Techniques numériques ; computer graphics ; digital imaging ; Computer graphics ; Image processing ; Digital techniques
    Kurzfassung: Image synthesis, or rendering, is a field of transformation: it changes geometry and physics into meaningful images. Because the most popular algorithms frequently change, it is increasingly important for researchers and implementors to have a basic understanding of the principles of image synthesis. Focusing on theory, Andrew Glassner provides a comprehensive explanation of the three core fields of study that come together to form digital image synthesis: the human visual system, digital signal processing, and the interaction of matter and light. Assuming no more than a basic background in calculus, Glassner transforms his passion and expertise into a thorough presentation of each of these disciplines, and their elegant orchestration into modern rendering techniques such as radiosity and ray tracing.
    Anmerkung: Includes bibliographical references and index. - Description based on print version record
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : No Starch Press | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (768 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local
    Kurzfassung: 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.
    Anmerkung: Online resource; Title from title page (viewed June 22, 2021) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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