Convolutional Neural Networks in Visual Computing: A Concise Guide

1st Edition

Ragav Venkatesan, Baoxin Li

CRC Press
Published September 1, 2017
Reference - 168 Pages
ISBN 9781498770392 - CAT# K29360
Series: Data-Enabled Engineering

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USD$159.95

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Summary

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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