https://github.com/mschaeffner/neural-network-getting-started
Easy neurol network from scratch
https://github.com/mschaeffner/neural-network-getting-started
javascript neural-network react
Last synced: 2 months ago
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Easy neurol network from scratch
- Host: GitHub
- URL: https://github.com/mschaeffner/neural-network-getting-started
- Owner: mschaeffner
- License: mit
- Created: 2018-06-29T06:29:38.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-06-29T06:35:55.000Z (about 8 years ago)
- Last Synced: 2025-06-09T08:44:41.704Z (about 1 year ago)
- Topics: javascript, neural-network, react
- Language: JavaScript
- Homepage: https://mschaeffner.github.io/neural-network-getting-started/
- Size: 269 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# neural-network-getting-started
## Demo
See in in action [here](https://mschaeffner.github.io/neural-network-getting-started). Reload the page a couple of time to see how _wrong_ the neural network was to divide the points into 2 teams. Perfect would be if all are clearly separated by diagonal line.
## About
This is an easy example for a super-easy neural network written from scratch in Javascript without any framework or library. It's heavily inspired by a video published by [MPJ](https://twitter.com/mpjme) on his youtube channel [Fun Fun Function](https://www.youtube.com/channel/UCO1cgjhGzsSYb1rsB4bFe4Q).
[](http://www.youtube.com/watch?v=o98qlvrcqiU "Video Title")