Cognitive Computation Trends

Deep Learning: Fundamentals, Theory and Applications

Editors: Huang, K., Hussain, A., Wang, Q.-F., Zhang, R. (Eds.)

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  • Provides thorough background of deep learning
  • Introduces  widely-used learning architectures and algorithms
  • Includes new theory and applications of deep learning
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eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-030-06073-2
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Hardcover $179.99
price for USA in USD
  • ISBN 978-3-030-06072-5
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  • Usually dispatched within 3 to 5 business days.
About this book

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how many deep learning methodologies have brought great breakthroughs in various applications of text, image, video, speech and audio processing.

Deep learning (DL) has been widely considered as the next generation of machine learning methodology. DL attracts much attention and also achieves great success in pattern recognition, computer vision, data mining, and knowledge discovery due to its great capability in learning high-level abstract features from vast amount of data. This new book will not only attempt to provide a general roadmap or guidance to the current deep learning methodologies, but also present the challenges and envision new perspectives which may lead to further breakthroughs in this field.

This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms. It will also be of special interest to researchers in the area of AI, pattern recognition, machine learning and related areas, alongside engineers interested in applying deep learning models in existing or new practical applications.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-030-06073-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-030-06072-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning: Fundamentals, Theory and Applications
Editors
  • Kaizhu Huang
  • Amir Hussain
  • Qiu-Feng Wang
  • Rui Zhang
Series Title
Cognitive Computation Trends
Series Volume
2
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-06073-2
DOI
10.1007/978-3-030-06073-2
Hardcover ISBN
978-3-030-06072-5
Series ISSN
2524-5341
Edition Number
1
Number of Pages
VII, 163
Number of Illustrations
20 b/w illustrations, 46 illustrations in colour
Topics