Wow! eBook
Development and Analysis of Deep Learning Architectures: 867 1st ed. 2020 Edition
Author(s): Witold Pedrycz (Editor), Shyi-Ming Chen
- Publisher: Springer
- Publication Date: 13 Nov. 2020
- Edition: 1st ed. 2020
- Language: English
- Print length: 303 pages
- ISBN-10: 3030317668
- ISBN-13: 9783030317669
Book Description
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.
Editorial Reviews
From the Back Cover
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.
