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Deep Learning Mining Visual by Zemmari Akka (12 results)
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Deep Learning in Mining of Visual Content (SpringerBriefs in Computer Science)
Book 305 of 322: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 61.04
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Deep Learning In Mining Of Visual Conten
Book 305 of 322: SpringerBriefs in Computer ScienceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Deep Learning in Mining of Visual Content
Book 305 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2020
ISBN 10: 3030343758 ISBN 13: 9783030343750
Paperback. Condition: Brand New. 130 pages. 9.25x6.10x0.28 inches. In Stock.
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Taschenbuch. Condition: Neu. Deep Learning in Mining of Visual Content | Akka Zemmari (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xvii | Englisch | 2020 | Springer | EAN 9783030343750 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks. Deep Learning is currently at the heart of most cutting edge technologies. It is in the core of the recent advances in Artificial Intelligence. Visual information in Digital form is constantly growing in volume. In such active domains as Computer Vision and Robotics visual information understanding is based on the use of deep learning. Other chapters present applications of deep learning for visual content mining. These include attention mechanisms in deep neural networks and application to digital cultural content mining. An additional application field is also discussed, and illustrates how deep learning can be of very high interest to computer-aided diagnostics of Alzheimerżs disease on multimodal imaging. This book targets advanced-level students studying computer science including computer vision, data analytics and multimedia. Researchers and professionals working in computer science, signal and image processing may also be interested in this book.
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Condition: new. Questo è un articolo print on demand.
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Deep Learning in Mining of Visual Content
Book 305 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030343758 ISBN 13: 9783030343750
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive overview of winning methods in visual content miningIllustration of main concepts with graphical examplesTracing analogy with classical visual content analysis tools Akka Zemmari has receive.
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Deep Learning in Mining of Visual Content
Book 305 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer, Springer International Publishing Jan 2020, 2020
ISBN 10: 3030343758 ISBN 13: 9783030343750
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.
