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.
|Author||Eugene Dubossarsky (project leader, chief designer), Yuriy Tyshetskiy (design, implementation, testing)|
|Date of publication||2015-07-02 09:09:12|
|Maintainer||Yuriy Tyshetskiy <email@example.com>|
|Package repository||View on CRAN|
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