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Generative models & Variational AutoEncoder explained


The ever-increasing size of modern datasets combined with the difficulty of obtaining labeled information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. VAE offers a novel way to enforce structure on the representation surface, by doing so, it opens the possibility of employing traditional semi supervised learning techniques on the structured embedding space. In this talk I will cover how VAE impose latent space structure constraint, and how we can use it in a semi-supervised settings.


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