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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
Author (1):
Xuanyi Chew Xuanyi Chew
Profile icon 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

The project

This is the last project of this book. So, for a bit of fun, let's build on the previous chapter's project, but give it a twist. There's an Asian rapper called MC Hot Dog. So let's build a face-recognition system to determine whether a face is HotDog or Not HotDog.

What we want to do is to read an image off a webcam, and use MachineBox to determine whether MC Hot Dog is in the picture. We'll once again be using GoCV to read images off the webcam, but, this time, the image will be sent to MachineBox for classification.

Training

MachineBox is a machine learning system as a service. It has, presumably, in some backend somewhere, a general model—say, a convolutional neural network...

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