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VAE is a generative model that “provides a probabilistic description of observations in potential Spaces”. Put simply, this means that VAE stores potential attributes as probability distributions. The idea of variational auto-encoders or VAE is deeply rooted in the methods of variational DB Bayesian and graphical models. This piece of work will discuss VAE Structure, VAE Loss Function, VAE Translation, and our final effects.