Sparse Autoencoder for Automatic Learning of Representative Features from Unlabeled Data


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Documentation for package ‘autoencoder’ version 1.1

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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