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Deep learningalgorithms and applicat...

Chen, Shyi-Ming.

Deep learningalgorithms and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learningedited by Witold Pedrycz, Shyi-Ming Chen.
其他題名:	algorithms and applications /
其他作者:	Pedrycz, Witold.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xii, 360 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Machine learning.
電子資源:	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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