RcppDL: 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).

Version: 0.0.5
Imports: methods, Rcpp (≥ 0.11.2)
LinkingTo: Rcpp
Published: 2014-12-17
Author: Qiang Kou, Yusuke Sugomori
Maintainer: Qiang Kou <qkou at umail.iu.edu>
BugReports: https://github.com/thirdwing/RcppDL/issues
License: GPL-3
URL: https://github.com/thirdwing/RcppDL
NeedsCompilation: yes
In views: MachineLearning
CRAN checks: RcppDL results


Reference manual: RcppDL.pdf


Package source: RcppDL_0.0.5.tar.gz
Windows binaries: r-devel: RcppDL_0.0.5.zip, r-release: RcppDL_0.0.5.zip, r-oldrel: RcppDL_0.0.5.zip
macOS binaries: r-release (arm64): RcppDL_0.0.5.tgz, r-release (x86_64): RcppDL_0.0.5.tgz, r-oldrel: RcppDL_0.0.5.tgz
Old sources: RcppDL archive


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