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Development and Analysis of Deep Learning Architectures

Development and Analysis of Deep Learning Architectures

by Witold Pedrycz and Shyi-Ming Chen
Hardback
Publication Date: 28/12/2019

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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.
ISBN:
9783030317638
9783030317638
Category:
Artificial intelligence
Format:
Hardback
Publication Date:
28-12-2019
Publisher:
Springer Nature Switzerland AG
Country of origin:
Switzerland
Pages:
292
Dimensions (mm):
235x155mm
Weight:
0.62kg

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