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Development and analysis of deep lea...

Pedrycz, Witold.

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Development and analysis of deep learning architectures

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development and analysis of deep learning architectures/ edited by Witold Pedrycz, Shyi-Ming Chen.
other author:	Pedrycz, Witold.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xi, 292 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Machine learning. -
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. - Cham :Springer International Publishing :2020. - xi, 292 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8671860-949X ;. - Studies in computational intelligence ;v.867..

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:

533906
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Development and analysis of deep learning architectures
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245 0 0 $a Development and analysis of deep learning architectures $h [electronic resource] / $c edited by Witold Pedrycz, Shyi-Ming Chen.
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300 $a xi, 292 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.867
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning. $3 533906
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Pedrycz, Witold. $3 899642
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