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Convolutional Neural Networks in Visual Computing: A Concise Guide
Contributor(s): Venkatesan, Ragav (Author), Li, Baoxin (Author)

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ISBN: 1498770398     ISBN-13: 9781498770392
Publisher: CRC Press
OUR PRICE: $190.00  

Binding Type: Hardcover - See All Available Formats & Editions
Published: September 2017
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Temporarily out of stock - Will ship within 2 to 5 weeks

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Additional Information
BISAC Categories:
- Computers | Machine Theory
- Computers | Software Development & Engineering - Systems Analysis & Design
- Technology & Engineering | Engineering (general)
Dewey: 006.32
LCCN: 2017029154
Series: Data-Enabled Engineering
Physical Information: 168 pages
Features: Bibliography, Index
 
Descriptions, Reviews, Etc.
Publisher Description:

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.

 
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