Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
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Aggiungi al carrellohardcover. Condizione: Very Good. Orders shipped daily from the UK. Professional seller.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
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Prima edizione
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
Da: Revaluation Books, Exeter, Regno Unito
EUR 130,56
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Aggiungi al carrelloHardcover. Condizione: Brand New. 484 pages. 10.00x7.00x1.25 inches. In Stock.
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Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
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ISBN 10: 1108835767 ISBN 13: 9781108835763
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108835767 ISBN 13: 9781108835763
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Da: Buchpark, Trebbin, Germania
EUR 102,82
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 468 | Sprache: Englisch | Produktart: Bücher | This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Condizione: As New. Unread book in perfect condition.
Da: preigu, Osnabrück, Germania
EUR 166,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Data Science | Theory, Algorithms, and Applications | Gyanendra K. Verma (u. a.) | Taschenbuch | xxvii | Englisch | 2022 | Springer | EAN 9789811616839 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 198,81
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 198,81
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Da: Revaluation Books, Exeter, Regno Unito
EUR 278,14
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 464 pages. 9.50x6.50x1.00 inches. In Stock.