https://github.com/johnygomez/visual-backprop-js
Artificial neural network, learned by error backpropagation algorithm, written in Javacript with asynchronous computation
https://github.com/johnygomez/visual-backprop-js
Last synced: 3 months ago
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Artificial neural network, learned by error backpropagation algorithm, written in Javacript with asynchronous computation
- Host: GitHub
- URL: https://github.com/johnygomez/visual-backprop-js
- Owner: johnygomez
- Created: 2014-11-23T15:27:29.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2014-11-25T15:05:20.000Z (over 10 years ago)
- Last Synced: 2025-01-12T12:18:13.943Z (4 months ago)
- Language: JavaScript
- Size: 1.36 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Visual Backprop JS
## Neural network simulator, written purely in Javascript.
## Try it at [Example](http://neuron.tuke.sk/gamec/simulator/)
In src/ folder, you can find source files for NN back-end (Backprop).
Source files were built with [Browserify](https://github.com/substack/node-browserify).
In js/ folder, you can find source files for client side.
* [netAsync.js](https://github.com/johnygomez/Visual-Backprop-JS/blob/master/js/netAsync.js) is definition of web worker performing background computation
* [network.js](https://github.com/johnygomez/Visual-Backprop-JS/blob/master/js/network.js) is main file for client application, controlling UI events and network tasks (drawing error, result, learning...)
* [netPlumb.js](https://github.com/johnygomez/Visual-Backprop-JS/blob/master/js/netPlumb.js) Defines connectable network UI in [JsPlumb](http://www.jsplumb.org/)
Visual part of application was developed using [JQuery](http://jquery.com/) and [Bootstrap](http://getbootstrap.com/) for visual elements. Connectable network was developed using [JsPlumb](http://www.jsplumb.org/). Graphs are drawn with [ChartJS](http://www.chartjs.org/) library.
#Thanks for contributing