Convolutional Neural Networks in Visual Computing : A Concise Guide Paperback / softback
by Ragav (Arizona State University, Tempe, USA) Venkatesan, Baoxin (Arizona State University, Tempe, USA) Li
Part of the Data-Enabled Engineering series
Paperback / softback
- Information
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.
Information
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Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:168 pages, 5 Tables, black and white; 37 Line drawings, black and white; 23 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:07/09/2017
- Category:
- ISBN:9781138747951
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:168 pages, 5 Tables, black and white; 37 Line drawings, black and white; 23 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:07/09/2017
- Category:
- ISBN:9781138747951
