Convolutional Neural Networks in Visual Computing - A Concise Guide (Hardcover)

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.

General

Imprint:	Productivity Press
Country of origin:	United States
Series:	Data-Enabled Engineering
Release date:	September 2017
Authors:	Ragav Venkatesan • Baoxin Li
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	168
ISBN-13:	978-1-4987-7039-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-4987-7039-8
Barcode:	9781498770392

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