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Deep learningalgorithms and applicat...

Chen, Shyi-Ming.

Deep learningalgorithms and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learningedited by Witold Pedrycz, Shyi-Ming Chen.
Reminder of title:	algorithms and applications /
other author:	Pedrycz, Witold.
Published:	Cham :Springer International Publishing :2020.
Description:	xii, 360 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-3-030-31760-7
ISBN:	9783030317607$q(electronic bk.)

Deep learningalgorithms and applications /
Deep learningalgorithms and applications /[electronic resource] :edited by Witold Pedrycz, Shyi-Ming Chen. - Cham :Springer International Publishing :2020. - xii, 360 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8651860-949X ;. - Studies in computational intelligence ;v. 216..

Preface -- Chapter 1. Activation Functions -- Chapter 2. Adversarial Examples in Deep Neural Networks: An Overview -- Chapter 3. Representation Learning in Power Time Series Forecasting, etc.

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.

ISBN: 9783030317607$q(electronic bk.)

Standard No.: 10.1007/978-3-030-31760-7doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Deep learningalgorithms and applications /
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520 $a This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
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