Name: Normalization in Neural Networks
Uploaded: 2018-12-18T20:20:39.318Z
Duration: 6 min 20 s
Description: Neural nets often work best with values that range around 1. So what happens when your input data is far from 1? This is a situation you’ll come into if your e.g. predicting stock prices. In such a case, you’d need to normalize the data. So in this lecture, I'll explain exactly how to do that in a simple manner.

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Normalization in Neural Networks

by Robert Plummer

Neural Networks in JavaScript

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Example: Stock price predictor5:31

Normalization in Neural Networks

by Robert Plummer

Neural Networks in JavaScript

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Example: Stock price predictor5:31

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// rawData = [{ open: number, high: number, low: number, close: number }]

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