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gnn  

Generative Neural Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gnn", "0.0-4")



Attach the package and use:
library("gnn")
Maintained by
Marius Hofert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-30
Latest Update: 2021-09-20
Description:
Tools to set up, train, store, load, investigate and analyze generative neural networks. In particular, functionality for generative moment matching networks is provided.
How to cite:
Marius Hofert (2019). gnn: Generative Neural Networks. R package version 0.0-4, https://cran.r-project.org/web/packages/gnn. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0-1 (2019-09-30 13:30), 0.0-2 (2020-03-04 00:40), 0.0-3 (2021-09-20 16:00)
Other packages that cited gnn R package
View gnn citation profile
Other R packages that gnn depends, imports, suggests or enhances
Complete documentation for gnn
Functions, R codes and Examples using the gnn R package
Some associated functions: FNN . GNN_basics . Tensorflow_available . catch . ffGNN . fitGNN . loss . plot . rGNN . rPrior . raw_keras . rm_ext . save_load . time . trafos_dimreduction . trafos_margins . 
Some associated R codes: FNN.R . GNN_class.R . auxiliaries.R . ffGNN.R . fitGNN.R . gof.R . loss.R . model.R . plot.R . rGNN.R . rPrior.R . raw_keras.R . save_load.R . time.R . trafos.R . zzz.R .  Full gnn package functions and examples
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