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. An application of generative data is the created density value function which is used to classify data records. Reference: Goodfellow et al. (2014) .


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1.2.0 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