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SAENET (version 1.1)

A Stacked Autoencoder Implementation with Interface to 'neuralnet'

Description

An implementation of a stacked sparse autoencoder for dimension reduction of features and pre-training of feed-forward neural networks with the 'neuralnet' package is contained within this package. The package also includes a predict function for the stacked autoencoder object to generate the compressed representation of new data if required. For the purposes of this package, 'stacked' is defined in line with http://ufldl.stanford.edu/wiki/index.php/Stacked_Autoencoders . The underlying sparse autoencoder is defined in the documentation of 'autoencoder'.

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Version

Install

install.packages('SAENET')

Monthly Downloads

6

Version

1.1

License

GPL-3

Maintainer

Stephen Hogg

Last Published

June 4th, 2015

Functions in SAENET (1.1)

SAENET.train

Build a stacked Autoencoder.
SAENET.predict

Obtain the compressed representation of new data for specified layers from a stacked autoencoder.
SAENET.nnet

Use a stacked autoencoder to pre-train a feed-forward neural network.