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
Binding Type: Hardcover - See All Available Formats & Editions Published: September 2017 Click for more in this series: Data-Enabled Engineering |
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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