Deep Learning: Algorithms and Applications

  • Witold Pedrycz
  • Shyi-Ming Chen

Part of the Studies in Computational Intelligence book series (SCI, volume 865)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Mohit Goyal, Rajan Goyal, P. Venkatappa Reddy, Brejesh Lall
    Pages 1-30
  3. Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar
    Pages 31-65
  4. Janosch Henze, Jens Schreiber, Bernhard Sick
    Pages 67-101
  5. Abdulaziz Almalaq, Jun Jason Zhang
    Pages 103-128
  6. Mauricio Araya-Polo, Amir Adler, Stuart Farris, Joseph Jennings
    Pages 129-156
  7. Miguel Martin-Abadal, Ana Ruiz-Frau, Hilmar Hinz, Yolanda Gonzalez-Cid
    Pages 193-230
  8. Swathi Jamjala Narayanan, Boominathan Perumal, Sangeetha Saman, Aditya Pratap Singh
    Pages 263-297
  9. Omar Costilla-Reyes, Ruben Vera-Rodriguez, Abdullah S. Alharthi, Syed U. Yunas, Krikor B. Ozanyan
    Pages 299-334
  10. Zhenghua Chen, Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, Min Wu, Xiaoli Li
    Pages 335-357
  11. Back Matter
    Pages 359-360

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.


Computational Intelligence Machine Learning Computer Vision Natural Language Processing Deep Learning Architectures Development Paradigms Pattern Recognition Image Processing Knowledge Representation AI

Editors and affiliations

  • Witold Pedrycz
    • 1
  • Shyi-Ming Chen
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan

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