Development and Analysis of Deep Learning Architectures

✍ Scribed by Witold Pedrycz; Shyi-Ming Chen

Publisher: Springer Nature
Year: 2019
Tongue: English
Leaves: 292
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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