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

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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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Product Description

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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Product Details

General

Imprint

Crc Press

Country of origin

United Kingdom

Series

Data-Enabled Engineering

Release date

September 2017

Availability

Expected to ship within 12 - 17 working days

Authors

,

Dimensions

234 x 156 x 17mm (L x W x T)

Format

Paperback

Pages

168

ISBN-13

978-1-138-74795-1

Barcode

9781138747951

Categories

LSN

1-138-74795-5



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