Sparse Autoencoder for Automatic Learning of Representative Features from Unlabeled Data

Documentation for package ‘autoencoder’ version 1.1

autoencoder-package	Implementation of sparse autoencoder for automatic learning of representative features from unlabeled data.
autoencode	Train a sparse autoencoder using unlabeled data
autoencoder	Implementation of sparse autoencoder for automatic learning of representative features from unlabeled data.
autoencoder.object	A trained autoencoder example with 100 hidden units
autoencoder.object.1	A trained autoencoder example with 25 hidden units
predict.autoencoder	Predict outputs of a sparse autoencoder
training.matrix	An example training set of images for training sparse autoencoder
visualize.hidden.units	Visualize features learned by a sparse autoencoder