Development and analysis of deep learning architectures /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2020].
Description:1 online resource (xi, 292 pages) : illustrations (some color).
Language:English
Series:Studies in computational intelligence, 1860-949X ; volume 867
Studies in computational intelligence ; v. 867.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12602399
Hidden Bibliographic Details
Other authors / contributors:Pedrycz, Witold, 1953- editor.
Chen, Shyi-Ming, editor.
ISBN:9783030317645
3030317641
9783030317638
3030317633
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed November 4, 2019).
Summary: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.
Other form:Original 3030317633 9783030317638
Standard no.:10.1007/978-3-030-31764-5
10.1007/978-3-030-31