Deep Learning: Algorithms and Applications By: Witold Pedrycz, Shyi Ming Chen

Author: Witold Pedrycz
Publisher: Springer; 1st ed. 2020 edition (October 23, 2019)
Description: 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.

18M	Deep Learning Algorithms And Applications - Pedrycz, Chen.pdf
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