Development and Analysis of Deep Learning Architectures
Witold Pedrycz · Shyi-Ming Chen
Nov 2019 · Studies in Computational Intelligence Book 867 · Springer Nature
Ebook
292
Pages
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About this ebook
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.
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