2min chapter

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ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

The Energy Function for Supervised Learning

There's some really interesting things here. So when we train this energy function f, we want it to be a lower energy for the given y than all the other is in the in set. And then he talks about two classes of learning methods. He doesn't talk about traditional kind of supervise classification neural networks. Yes.

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