November 2015
Intermediate to advanced
190 pages
4h 11m
English
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Chapter 2. Perceptively Testing a Perceptron
Even for people comfortable with using them, neural networks can seem like a big black box. On top of that, the little bit of randomness within them just makes their inner workings that much more mysterious.
In this chapter, we're going to start exploring TDD-ing machine learning algorithms by building a very simple neural network using TDD. Then we will use this as an opportunity to more deeply understand how they work.
In this chapter, we will cover the following topics:
- Building the simplest perceptron possible
- Using a spreadsheet to develop simple use cases we can test to and reproduce
- Using TDD to develop our first machine-learning algorithm
- Testing with datasets
You will need some sort of spreadsheet ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.