ENGLISH

Convolutional Neural Networks in Visual Computing: A Concise Guide

By Baoxin Li , Ragav Venkatesan

Book information

Publisher
CRC Press
Year
2018
ISBN
1498770398, 978-1-4987-7039-2, 9781351650328, 1351650327, 978-1-138-74795-1
Language
english
Format
PDF
Filesize
6 MB (6137417 bytes)
Series
Data-Enabled Engineering
Edition
1
Pages
186\187
Time added
2018-02-03 10:00:00
Computer vision.;Neural networks (Computer science

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. Content: DedicationAcknowledgementsAbout the AuthorPreface Chapter 1: Introduction to visual computingChapter 2: Learning as a regression problemChapter 3: Artificial neural networksChapter 4: Convolutional neural networksChapter 5: Modern and novel usages of CNNsAppendixPostscript

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