ISBN: 9789811367939 - advances in deep learning: 57 (studies in big data, 57) (15 resultados)

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Condición: New. pp. XIV, 149 87 illus., 53 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condición: New. pp. XIV, 149 87 illus., 53 illus. in color.

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Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Buch. Condición: 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.…

Hardcover. Condición: Brand New. 164 pages. 9.25x6.10x0.63 inches. In Stock.

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Gebunden. Condición: 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.…

Buch. Condición: 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.…

Buch. Condición: 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.…