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Hands-On Computer Vision with Julia

You're reading from   Hands-On Computer Vision with Julia Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998796
Length 202 pages
Edition 1st Edition
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Author (1):
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Dmitrijs Cudihins Dmitrijs Cudihins
Author Profile Icon Dmitrijs Cudihins
Dmitrijs Cudihins
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with JuliaImages FREE CHAPTER 2. Image Enhancement 3. Image Adjustment 4. Image Segmentation 5. Image Representation 6. Introduction to Neural Networks 7. Using Pre-Trained Neural Networks 8. OpenCV 9. Assessments
10. Other Books You May Enjoy

Introduction to Neural Networks

This chapter will primarily focus on understanding the difference between classic computer vision and neural networks, and also shows how to prepare images for use in deep learning models, and assist in building and training your first classifiers.

The following topics are covered in this chapter:

  • Introduction to MXNet and its building blocks
  • Building a digit classifier for the MNIST dataset
  • Building a multiclass image classifier with CIFAR-10
  • Building the cats and dogs classifier
  • Reusing the models
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