Deep Learning: Algorithms and Applications (1st ed. 2020) (Studies in Computational Intelligence #865)
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- Synopsis
- This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030317607
- Related ISBNs:
- 9783030317591
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/10/19
- 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