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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

A neural network

The term neural network can mean one of two things in modern parlance. The first refers to a network of neurons found in your brain. These neurons form specific networks and pathways and are vital to you understanding this very sentence. The second meaning of the term refers to an artificial neural network; that is, things we build in software to emulate a neural network in the brain.

This, of course, has led to very many unfortunate comparisons between a biological neural network and an artificial neural network. To understand why, we must start at the beginning.

From here on, I shall spell neuron with a British spelling denoting a real neuron cell, while the American spelling, neuron, will be reserved for the artificial variant.

This following diagram is of a neuron:

In general, a neuron typically consists of the soma (the general body of the cell that contains...

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