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Generative Adversarial Networks (GANs) with R | Reviewing Results & Improvement

Generative Adversarial Networks (GANs) with R | Reviewing Results & Improvement Provides steps for applying GAN model with R.
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R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

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