autoencoder

Sparse Autoencoder for Automatic Learning of Representative Features from Unlabeled Data

CRAN Package

Implementation of the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.

  • Version1.1
  • R versionunknown
  • LicenseGPL-2
  • Needs compilation?No
  • Last release07/02/2015

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