Development and Analysis of Deep Learning Architectures

Lieferzeit: Lieferbar innerhalb 14 Tagen

171,19 

Studies in Computational Intelligence 867

ISBN: 3030317668
ISBN 13: 9783030317669
Herausgeber: Witold Pedrycz/Shyi-Ming Chen
Verlag: Springer Verlag GmbH
Umfang: xi, 292 S., 15 s/w Illustr., 120 farbige Illustr., 292 p. 135 illus., 120 illus. in color.
Erscheinungsdatum: 13.11.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert

This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.

Artikelnummer: 9955871 Kategorie:

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Springer Verlag GmbH
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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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