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RcppDL  

Deep Learning Methods via Rcpp
View on CRAN: Click here


Download and install RcppDL package within the R console
Install from CRAN:
install.packages("RcppDL")

Install from Github:
library("remotes")
install_github("cran/RcppDL")

Install by package version:
library("remotes")
install_version("RcppDL", "0.0.5")



Attach the package and use:
library("RcppDL")
Maintained by
Qiang Kou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-12-16
Latest Update: 2023-08-18
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).
How to cite:
Qiang Kou (2014). RcppDL: Deep Learning Methods via Rcpp. R package version 0.0.5, https://cran.r-project.org/web/packages/RcppDL. Accessed 26 Mar. 2025.
Previous versions and publish date:
0.0.3 (2014-12-16 01:02), 0.0.5 (2014-12-17 23:46)
Other packages that cited RcppDL R package
View RcppDL citation profile
Other R packages that RcppDL depends, imports, suggests or enhances
Functions, R codes and Examples using the RcppDL R package
Some associated functions: RcppDL-package . datasets . dl-class . dl-methods . metadata . 
Some associated R codes: AllGenerics.R . DataClasses.R . dA-methods.R . dbn-methods.R . rbm-methods.R . sda-methods.R . zzz.R .  Full RcppDL package functions and examples
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