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johnygomez/Visual-Backprop-JS: Artificial neural network, learned by error backpropagation algorithm, written in Javacript with asynchronous computation · GitHub

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Visual Backprop JS

Neural network simulator, written purely in Javascript.

Try it at Example

In src/ folder, you can find source files for NN back-end (Backprop). Source files were built with Browserify.

In js/ folder, you can find source files for client side.

  • netAsync.js is definition of web worker performing background computation
  • network.js is main file for client application, controlling UI events and network tasks (drawing error, result, learning...)
  • netPlumb.js Defines connectable network UI in JsPlumb

Visual part of application was developed using JQuery and Bootstrap for visual elements. Connectable network was developed using JsPlumb. Graphs are drawn with ChartJS library.

#Thanks for contributing

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Artificial neural network, learned by error backpropagation algorithm, written in Javacript with asynchronous computation

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