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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

Using Pre-Trained Neural Networks

In this chapter, we will cover the use of pre-trained neural networks from the MXNet Model Zoo and GitHub, compare network performance, and adjust them for solving custom computer vision problems.

The following topics will be covered in this chapter:

  • Loading a pre-trained network from the MXNet Model Zoo
  • Using Inception V3 and MobileNet v2 classifiers to predict image classes
  • Using Inception V3 and MobileNet v2 to extract image features
  • Using features extracted from Inception V3 to train a new model
  • Applying the transfer learning technique and Inception V2 to solve custom problems
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