Tag: Distribution

Rayleigh samples distribution estimation using GANs

Collaborator: Pablo Ramirez Espinosa, post-doctoral researcher, Connectivity Section, Aalborg University As presented in the post: https://ksp-windmill-itn.eu/index.php/2020/06/11/generative-adversarial-nets-from-general-to-theoretical-explanation/ GANs are a powerful framework for approximating the features distribution so as it is possible to generate fake samples that looks like real samples. In this post, in order to see some practical results of GANs approximation, we will…