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Convolutional Neural Networks in Visual Computing

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Convolutional Neural Networks in Visual Computing Synopsis

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.

About This Edition

ISBN: 9781498770392
Publication date: 1st September 2017
Author: Ragav (Arizona State University, Tempe, USA) Venkatesan, Baoxin (Arizona State University, Tempe, USA) Li
Publisher: CRC Press Inc an imprint of Taylor & Francis Inc
Format: Hardback
Pagination: 168 pages
Series: Data-Enabled Engineering
Genres: Environmental science, engineering and technology
Electrical engineering
Automatic control engineering