Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
XIV, 149 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data. Volume 57. Sprache: Englisch.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Basi6 International, Irving, TX, USA
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Anbieter: SMASS Sellers, IRVING, TX, USA
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Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. XIV, 149 87 illus., 53 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 175,53
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In den WarenkorbZustand: New. pp. XIV, 149 87 illus., 53 illus. in color.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 178,81
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 188,49
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Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 210,81
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 300,48
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In den WarenkorbHardcover. Zustand: Brand New. 164 pages. 9.25x6.10x0.63 inches. In Stock.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 166,29
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Springer Nature Singapore, 2019
ISBN 10: 9811367930 ISBN 13: 9789811367939
Anbieter: moluna, Greven, Deutschland
EUR 180,07
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses a contemporary research area, i.e. deep learningElaborates on both basic and advanced concepts in deep learningIllustrates several advanced concepts like classification, face recognition, and fingerprint recognition.
Sprache: Englisch
Verlag: Springer, Springer Mär 2019, 2019
ISBN 10: 9811367930 ISBN 13: 9789811367939
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models. 164 pp. Englisch.
Sprache: Englisch
Verlag: Springer, Springer Mär 2019, 2019
ISBN 10: 9811367930 ISBN 13: 9789811367939
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.