Deep Learning: Algorithms and Applications: 865 (Studies in Computational Intelligence) - Tapa blanda

9783030317621: Deep Learning: Algorithms and Applications: 865 (Studies in Computational Intelligence)

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ISBN 10: 3030317625 ISBN 13: 9783030317621

Editorial: Springer, 2020

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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.

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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.

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Editorial: Springer
A�o de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 3030317625
ISBN 13: 9783030317621
Encuadernaci�n: Tapa blanda
N�mero de edici�n: 1
N�mero de p�ginas: 372
Editor: Pedrycz Witold, Chen Shyi-Ming
Contacto del fabricante: no disponible
Persona responsable: CMN Printpool Inh. Mathis Neumann
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9783030317591: Deep Learning: Algorithms and Applications: 865 (Studies in Computational Intelligence)

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ISBN 10: 3030317595 ISBN 13: 9783030317591
Editorial: Springer, 2019
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Deep Learning: Algorithms and Applications

Pedrycz, Witold|Chen, Shyi-Ming

Publicado por Springer International Publishing, 2020

ISBN 10: 3030317625 ISBN 13: 9783030317621

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issuesAddresses implementations and case studies, identifying the best design practices and assessing business models and met. N� de ref. del art�culo: 448678823

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Deep Learning: Algorithms and Applications (Studies in Computational Intelligence)

Publicado por Springer, 2020

ISBN 10: 3030317625 ISBN 13: 9783030317621

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Deep Learning: Algorithms and Applications

Shyi-Ming Chen

Publicado por Springer International Publishing Nov 2020, 2020

ISBN 10: 3030317625 ISBN 13: 9783030317621

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. 372 pp. Englisch. N� de ref. del art�culo: 9783030317621

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Deep Learning: Algorithms and Applications

Shyi-Ming Chen

Publicado por Springer International Publishing, 2020

ISBN 10: 3030317625 ISBN 13: 9783030317621

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. N� de ref. del art�culo: 9783030317621

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Deep Learning : Algorithms and Applications

Pedrycz, Witold (EDT); Chen, Shyi-ming (EDT)

Publicado por Springer, 2020

ISBN 10: 3030317625 ISBN 13: 9783030317621

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Deep Learning: Algorithms and Applications

Shyi-Ming Chen

Publicado por Springer International Publishing, Springer International Publishing Nov 2020, 2020

ISBN 10: 3030317625 ISBN 13: 9783030317621

Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Neuware -This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm�s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. N� de ref. del art�culo: 9783030317621

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