Development and Analysis of Deep Learning Architectures

by Witold Pedrycz (Editor), Shyi-Ming Chen (Editor)

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.

529 pages, Kindle Edition

Published November 1, 2019