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Studies in Computational Intelligence
cover

Deep Learning: Algorithms and Applications

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)

  • Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issues
  • Addresses implementations and case studies, identifying the best design practices and assessing business models and methodologies encountered in industry, health care, science, administration, and business
  • Serves as a unique and well-structured reference resource for graduate and senior undergraduate students in areas such as computational intelligence, pattern recognition, computer vision, knowledge acquisition and representation, and knowledge-based systems
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eBook $89.00
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: January 24, 2020
  • ISBN 978-3-030-31760-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: December 27, 2019
  • ISBN 978-3-030-31759-1
  • Free shipping for individuals worldwide
About this book

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.

Buy this book

eBook $89.00
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: January 24, 2020
  • ISBN 978-3-030-31760-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $169.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: December 27, 2019
  • ISBN 978-3-030-31759-1
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning: Algorithms and Applications
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Studies in Computational Intelligence
Series Volume
865
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-31760-7
DOI
10.1007/978-3-030-31760-7
Hardcover ISBN
978-3-030-31759-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 360
Number of Illustrations
28 b/w illustrations, 138 illustrations in colour
Topics