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Convolutional Neural Networks in Visual Computing: A...

Convolutional Neural Networks in Visual Computing: A Concise Guide

Ragav Venkatesan, Baoxin Li
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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.

Year:
2018
Edition:
1
Publisher:
CRC Press
Language:
english
Pages:
186
ISBN 10:
1498770398
ISBN 13:
9781498770392
Series:
Data-Enabled Engineering
File:
PDF, 5.85 MB
IPFS:
CID , CID Blake2b
english, 2018
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