Algorithms And Applications
By Witold Pedrycz & Shyi-Ming Chen


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 character of learning encountered within the sensible problems being tackled. Intended for readers interested by acquiring a practical knowledge of study, design, and deployment of deep learning solutions to real-world problems, it covers an honest 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 event processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.