Deep Learning Methods via Rcpp

This package is based on the C++ code from Yusuke Sugomori, which implements basic machine learning methods with many layers (deep learning), including dA (Denoising Autoencoder), SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and DBN (Deep Belief Nets).


Reference manual

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0.0.5 by Qiang Kou, 7 years ago

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Authors: Qiang Kou , Yusuke Sugomori

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning

GPL-3 license

Imports methods, Rcpp

Linking to Rcpp

See at CRAN