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Deep Learning: Algorithms and Applications (Studies in Computational Intelligence, 865, Band 865) - Hardcover

Buch 366 von 538: Studies in Computational Intelligence

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9783030317591: Deep Learning: Algorithms and Applications (Studies in Computational Intelligence, 865, Band 865)
Hardcover
ISBN 10: 3030317595 ISBN 13: 9783030317591
Verlag: Springer, 2019

Inhaltsangabe

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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Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3030317595
ISBN 13 
9783030317591
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
372
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