Convolutional Neural Networks in Visual Computing

Convolutional Neural Networks in Visual Computing

EnglishPaperback / softback
Venkatesan, Ragav
Taylor & Francis Ltd
EAN: 9781138747951
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Detailed information

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.

EAN 9781138747951
ISBN 1138747955
Binding Paperback / softback
Publisher Taylor & Francis Ltd
Publication date September 7, 2017
Pages 168
Language English
Dimensions 234 x 156
Country United Kingdom
Readership General
Authors Li Baoxin; Venkatesan, Ragav
Illustrations 5 Tables, black and white; 37 Line drawings, black and white; 23 Halftones, black and white
Series Data-Enabled Engineering
Manufacturer information
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