Items related to Deep Learning: Algorithms and Applications (Studies...

Deep Learning: Algorithms and Applications (Studies in Computational Intelligence, 865) - Hardcover

Book 366 of 538: Studies in Computational Intelligence
 
9783030317591: Deep Learning: Algorithms and Applications (Studies in Computational Intelligence, 865)
Hardcover
ISBN 10: 3030317595 ISBN 13: 9783030317591
Publisher: Springer, 2019

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2019
Language
English
ISBN 10 
3030317595
ISBN 13 
9783030317591
Binding
Hardcover
Number of pages
372
Editor
Pedrycz Witold, Chen Shyi-Ming