[2.0.0](https://github.com/mljs/feedforward-neural-networks/compare/v1.0.1...v2.0.0) (2016-06-09)

ml-fnn

# Feedforward Neural Network

  [![NPM version][npm-image]][npm-url]
  [![build status][travis-image]][travis-url]
  [![David deps][david-image]][david-url]
  [![npm download][download-image]][download-url]

A implementation of feedforward neural networks in javascript based on the mrbo answer
found here:

[Implementation] (http://stackoverflow.com/questions/9951487/implementing-a-neural-network-in-java-training-and-backpropagation-issues)

## Methods

### new FNN(X, Y)

### train(options)

__Options__

* `hiddenLayers` - Array with the size of each hidden layer in the FNN.
* `iterations` - Maximum number of iterations of the algorithm.
* `learningRate` - The learning rate (number).
* `momentum` - The regularization term (number).

### predict(dataset)

### toJSON()

### FNN.load(model)

## License

[MIT](./LICENSE)

[npm-image]: https://img.shields.io/npm/v/ml-fnn.svg?style=flat-square
[npm-url]: https://npmjs.org/package/ml-fnn
[travis-image]: https://img.shields.io/travis/mljs/feedforward-neural-networks/master.svg?style=flat-square
[travis-url]: https://travis-ci.org/mljs/feedforward-neural-networks
[david-image]: https://img.shields.io/david/mljs/feedforward-neural-networks.svg?style=flat-square
[david-url]: https://david-dm.org/mljs/feedforward-neural-networks
[download-image]: https://img.shields.io/npm/dm/ml-fnn.svg?style=flat-square
[download-url]: https://npmjs.org/package/ml-fnn


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ml-fnn

2.0.0 (2016-06-09)

Feedforward Neural Network

Methods

new FNN(X, Y)

train(options)

predict(dataset)

toJSON()

FNN.load(model)

License

Keywords

Related posts

ml-fnn

Feedforward Neural Network

Methods

new FNN(X, Y)

train(options)

predict(dataset)

toJSON()

FNN.load(model)

License

Keywords

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