Convolutional Neural Networks in Visual Computing: A Concise Guide

Convolutional Neural Networks in Visual Computing: A Concise Guide Front Cover
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2017-09-01
186 pages

Book Description

This book covers the 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 . This book provides a good theoretical and practical understanding and a complete of basic and knowledge required to understand and build convolutional neural (CNN) from scratch. The book focuses explicitly on convolutional neural , filtering out other material that co-occur in many deep learning books on CNN topics.

Table of Contents

Chapter 1: Introduction to Visual
Chapter 2: Learning As a Regression Problem
Chapter 3: Artificial Neural Networks
Chapter 4: Convolutional Neural Networks
Chapter 5: Modern and Novel Usages of CNNs

Book Details

  • Title: Convolutional Neural Networks in Visual Computing: A Concise Guide
  • Author: ,
  • Length: 186 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2017-09-01
  • ISBN-10: 1498770398
  • ISBN-13: 9781498770392
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