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Go Machine Learning Projects

You're reading from   Go Machine Learning Projects Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788993401
Length 348 pages
Edition 1st Edition
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Author (1):
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Xuanyi Chew Xuanyi Chew
Author Profile Icon Xuanyi Chew
Xuanyi Chew
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Table of Contents (12) Chapters Close

Preface 1. How to Solve All Machine Learning Problems 2. Linear Regression - House Price Prediction FREE CHAPTER 3. Classification - Spam Email Detection 4. Decomposing CO2 Trends Using Time Series Analysis 5. Clean Up Your Personal Twitter Timeline by Clustering Tweets 6. Neural Networks - MNIST Handwriting Recognition 7. Convolutional Neural Networks - MNIST Handwriting Recognition 8. Basic Facial Detection 9. Hot Dog or Not Hot Dog - Using External Services 10. What's Next? 11. Other Books You May Enjoy

GoCV

In this chapter, we will be using GoCV. GoCV is a binding for OpenCV and comes with a suite of features from OpenCV that can be used. One of the features from OpenCV is the Viola-Jones classifier, which we will use to our advantage.

Installing GoCV is a little tricky, however. It requires OpenCV to be installed beforehand. At the time of writing, the version supported by GoCV is OpenCV 3.4.2. Installing OpenCV can be quite a painful experience. Perhaps the best place to find out how to install OpenCV is a website called Learn OpenCV. They have great guides on installing OpenCV on all platforms:

After the daunting process...

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