4min chapter

Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

Machine Learning - Energy Functions

This talk dives into the technical discuss of energy functions and how they construct the data manifold eonlyconis talk about very specific types of application here. We can formulate almost any machine learning problem in terms of an energy function. If you ever saw a deep dream or something like this, those models do exactly that. They optimize the input image for a particular label. And there you can view the entire neural network, including the loss function as the energy function. The three of us brothers struggle with grasping what yon lecan is and isn't talking about. So we're trying to make sense of pretty much all of machine learning one go. It's a bit of a different talk for us

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