2min chapter

Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

A Variational Audoin Coder

This is kind of like a Variational autoin codes cas imagine you have some data manifold, and you want to design in architecture such that the latent abe can describe the domain of the manifold. Yet this, this is almost exactly a drawing of a variational audoin coder. So he's saying, how can we take a deterministic model? And then so how is the random variable added to that before it hits dcota?

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