Convolutional Neural Networks in Visual Computing

A Concise Guide

Ragav Venkatesan author Baoxin Li author

Format:Hardback

Publisher:Taylor & Francis Inc

Published:1st Sep '17

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

Convolutional Neural Networks in Visual Computing cover

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.

ISBN: 9781498770392

Dimensions: unknown

Weight: 500g

168 pages