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Convolutional Neural Networks in Visual Computing: A Concise Guide by Ragav Venkatesan, Baoxin Li (Paperback, 2017)
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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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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.Product Identifiers
PublisherTaylor & Francis LTD
ISBN-139781138747951
eBay Product ID (ePID)235055045
Product Key Features
Number of Pages168 Pages
Publication NameConvolutional Neural Networks in Visual Computing: a Concise Guide
LanguageEnglish
SubjectComputer Science
Publication Year2017
TypeTextbook
Subject AreaMechanical Engineering
AuthorRagav Venkatesan, Baoxin Li
SeriesData-Enabled Engineering
FormatPaperback
Dimensions
Item Height234 mm
Item Weight272 g
Item Width156 mm
Additional Product Features
Country/Region of ManufactureUnited Kingdom
Title_AuthorBaoxin Li, Ragav Venkatesan
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