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Development and Analysis of Deep Learning Architectures

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Development and Analysis of Deep Learning Architectures/ edited by Witold Pedrycz, Shyi-Ming Chen.
other author:	Pedrycz, Witold.
Description:	XI, 292 p. 135 illus., 120 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-31764-5
ISBN:	9783030317645

Development and Analysis of Deep Learning Architectures
Development and Analysis of Deep Learning Architectures[electronic resource] /edited by Witold Pedrycz, Shyi-Ming Chen. - 1st ed. 2020. - XI, 292 p. 135 illus., 120 illus. in color.online resource. - Studies in Computational Intelligence,8671860-949X ;. - Studies in Computational Intelligence,564.

Preface -- Chapter 1. Direct Error Driven Learning for Classification in Applications Generating Big-Data -- Chapter 2. Deep Learning for Soft Sensor Design -- Chapter 3. Case Study: Deep Convolutional Networks in Healthcare, etc.

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.

ISBN: 9783030317645

Standard No.: 10.1007/978-3-030-31764-5doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Development and Analysis of Deep Learning Architectures
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