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Studies in Computational Intelligence

Development and Analysis of Deep Learning Architectures

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

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  • 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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  • ISBN 978-3-030-31764-5
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Hardcover 145,59 €
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About this book

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.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-31764-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-030-31763-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Development and Analysis of Deep Learning Architectures
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Studies in Computational Intelligence
Series Volume
867
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-31764-5
DOI
10.1007/978-3-030-31764-5
Hardcover ISBN
978-3-030-31763-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XI, 292
Number of Illustrations
15 b/w illustrations, 120 illustrations in colour
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