RcppDL-package: Deep Learning Methods via Rcpp

In RcppDL: Deep Learning Methods via Rcpp

Description

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).

Details

Package:	RcppDL
Type:	Package
Version:	0.0.5
Date:	2014-12-12
License:	GPL-3

Author(s)

Qiang Kou, Yusuke Sugomori

Maintainer: Qiang Kou <[e-mail]>

References

Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle: Greedy Layer-Wise Training of Deep Networks, Advances in Neural Information Processing Systems 19, 2007

P. Vincent, H. Larochelle, Y. Bengio, P.A. Manzagol: Extracting and Composing Robust Features with Denoising Autoencoders, ICML' 08, 1096-1103, 2008

RcppDL documentation built on May 1, 2019, 10:54 p.m.