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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Werner Mueller, 4 months ago
Browse source code at
GPL (>= 2)
Imports Rcpp, tensorflow
Linking to Rcpp
See at CRAN