Development and Analysis of Deep Learning Architectures (1st ed. 2020) (Studies in Computational Intelligence #867)
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- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030317645
- Related ISBNs:
- 9783030317638
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/23/19
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Witold Pedrycz
- Edited by:
- Shyi-Ming Chen
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- by Witold Pedrycz
- by Shyi-Ming Chen
- in Nonfiction
- in Computers and Internet
- in Technology