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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering

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Convolutional Neural Networks in Visual Computing - A Concise Guide (Hardcover) Loot Price: R4,441
Discovery Miles 44 410
Convolutional Neural Networks in Visual Computing - A Concise Guide (Hardcover): Ragav Venkatesan, Baoxin Li

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

Ragav Venkatesan, Baoxin Li

Series: Data-Enabled Engineering

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Loot Price R4,441 Discovery Miles 44 410 | Repayment Terms: R416 pm x 12*

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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.

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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