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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

Convolutional Neural Networks - MNIST Handwriting Recognition

In the previous chapter, I posited a scenario where you are a postal worker trying to recognize handwriting. In that, we ended up with a neural network built on top of Gorgonia. In this chapter, we'll look at the same scenario, but we'll augment our ideas of what a neural network is and write a more advanced neural network, one that was, until very recently, state of the art.

Specifically, in this chapter, we are going to build a Convolutional Neural Network (CNN). A CNN is a type of deep learning network that has been popular in recent years.

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