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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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Table of Contents (11) Chapters Close

Preface 1. Getting Started with JuliaImages 2. Image Enhancement FREE CHAPTER 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

Summary

In this chapter, you have made your first steps into learning about neural networks and applying them for computer vision tasks. First, we covered the process of image analysis and understanding dimensionality. Next, we learned how to prepare the data so that it can be used with the MXNet deep learning framework. Finally, we built multiple different networks for solving binary and multiclass classification problems.

In the next chapter, we will cover the use of already pretrained models and try to achieve higher scores in the tasks we have accomplished so far.

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