Generate Generative Data for a Data Source

Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. Reference: Goodfellow et al. (2014) .


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install.packages("ganGenerativeData")

1.1.1 by Werner Mueller, 4 months ago


Browse source code at https://github.com/cran/ganGenerativeData


Authors: Werner Mueller


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, tensorflow

Linking to Rcpp


See at CRAN