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) .


Reference manual

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1.1.1 by Werner Mueller, 4 months ago

Browse source code at

Authors: Werner Mueller

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, tensorflow

Linking to Rcpp

See at CRAN