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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
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First steps with the MNIST dataset

MNIST is the dataset that is always discussed first when making first steps in the world of neural networks and image classification. MNIST is a database of grayscale images of handwritten digits. It has a training set of 60,000 examples, and a test set of 10,000 examples.

In the following activities, we will be predicting the value written on an image by building our first neural network.

Getting the data

In order to get to the process of building the neural networks quickly, we will be using the MNIST dataset, which is available in the MLDatasets.jl package. The package provides easy and user-friendly access to some of the datasets publicly available out there on the internet. If you don...

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