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Go Machine Learning Projects

You're reading from Go Machine Learning Projects

Product type Book

Published in Nov 2018

Publisher Packt

ISBN-13 9781788993401

Pages 348 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Xuanyi Chew

Table of Contents (12) Chapters

Preface

1. How to Solve All Machine Learning Problems

2. Linear Regression - House Price Prediction

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

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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:

Installing OpenCV on Ubuntu: https://www.learnopencv.com/install-opencv3-on-ubuntu/
Installing OpenCV on Windows: https://www.learnopencv.com/install-opencv3-on-windows/
Installing OpenCV on MacOS: https://www.learnopencv.com/install-opencv3-on-macos/

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Authors (1)

Xuanyi Chew

Xuanyi Chew is the Chief Data Scientist of a Sydney-based logistics startup. He is the primary author of Gorgonia, an open source deep learning package for Go. He's been practicing machine learning for the past 12 years, applying them typically to help startups. His goal in life is to make an artificial general intelligence a reality. He enjoys learning new things.

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