Development and analysis of deep learning architectures / Witold Pedrycz, Shyi-Ming Chen, editors.

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Development and analysis of deep learning architectures / Witold Pedrycz, Shyi-Ming Chen, editors.

9783030317645 (electronic book)
3030317641 (electronic book)
9783030317638
3030317633

https://doi.org/10.1007/978-3-030-31764-5
https://doi.org/10.1007/978-3-030-31

Cham, Switzerland : Springer, [2020].

English

1 online resource (xi, 292 pages) : illustrations.

10.1007/978-3-030-31764-5 doi
10.1007/978-3-030-31

Q325.5

006.3/1

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.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed November 4, 2019).

Studies in computational intelligence ; v. 867.

Print version: 9783030317638

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