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nnlib2Rcpp  

A Tool for Creating Custom Neural Networks in C++ and using Them in R
View on CRAN: Click here


Download and install nnlib2Rcpp package within the R console
Install from CRAN:
install.packages("nnlib2Rcpp")

Install from Github:
library("remotes")
install_github("cran/nnlib2Rcpp")

Install by package version:
library("remotes")
install_version("nnlib2Rcpp", "0.2.5")



Attach the package and use:
library("nnlib2Rcpp")
Maintained by
Vasilis Nikolaidis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-08
Latest Update: 2024-02-01
Description:
Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
How to cite:
Vasilis Nikolaidis (2020). nnlib2Rcpp: A Tool for Creating Custom Neural Networks in C++ and using Them in R. R package version 0.2.5, https://cran.r-project.org/web/packages/nnlib2Rcpp
Previous versions and publish date:
0.1.2 (2020-05-08 21:00), 0.1.4 (2020-06-08 17:00), 0.1.6 (2021-03-04 03:50), 0.1.7 (2021-05-05 17:40), 0.1.8 (2021-10-30 17:20), 0.1.9 (2022-05-26 18:50), 0.1.10 (2023-02-04 19:12), 0.2.0 (2023-02-21 20:00), 0.2.1 (2023-03-12 20:30), 0.2.2 (2023-04-06 11:00), 0.2.3 (2023-09-04 13:20), 0.2.4 (2024-02-01 12:10), 0.2.5 (2024-03-09 21:40), 0.2.6 (2024-04-25 14:00)
Other packages that cited nnlib2Rcpp R package
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Other R packages that nnlib2Rcpp depends, imports, suggests or enhances
Functions, R codes and Examples using the nnlib2Rcpp R package
Some associated functions: Autoencoder . BP-class . LVQs-class . LVQu . MAM-class . NN-R-components . NN-class . NN-components . nnlib2Rcpp . 
Some associated R codes: NNClasses.R . RcppExports.R .  Full nnlib2Rcpp package functions and examples
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