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nnlib2Rcpp: A Tool for Creating Custom Neural Networks in C++ and using Them in R

Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.

Version: 0.2.9 Imports: Rcpp , methods, graphics, utils, class LinkingTo: Rcpp Suggests: R.rsp Published: 2024-10-10 DOI: 10.32614/CRAN.package.nnlib2Rcpp Author: Vasilis Nikolaidis [aut, cph, cre] Maintainer: Vasilis Nikolaidis <v.nikolaidis at uop.gr> BugReports: https://github.com/VNNikolaidis/nnlib2Rcpp/issues License: MIT + file LICENSE URL: https://github.com/VNNikolaidis/nnlib2Rcpp NeedsCompilation: yes Citation: nnlib2Rcpp citation info CRAN checks: nnlib2Rcpp results Documentation: Reference manual: nnlib2Rcpp.pdf Vignettes: nnlib and nnlib2Rcpp: An Introduction (source)
Downloads: Package source: nnlib2Rcpp_0.2.9.tar.gz Windows binaries: r-devel: nnlib2Rcpp_0.2.9.zip, r-release: nnlib2Rcpp_0.2.9.zip, r-oldrel: nnlib2Rcpp_0.2.9.zip macOS binaries: r-release (arm64): nnlib2Rcpp_0.2.9.tgz, r-oldrel (arm64): nnlib2Rcpp_0.2.9.tgz, r-release (x86_64): nnlib2Rcpp_0.2.9.tgz, r-oldrel (x86_64): nnlib2Rcpp_0.2.9.tgz Old sources: nnlib2Rcpp archive Linking:

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