2min chapter

Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

Throw Away the Problistic Framework

Throwing away the probstic framework allows us to use more freedom instead of deciding on what objective function to use. But then we lose the advantage of actually iti mitting densities when our assuiting densities any more. So why not throw the probistic framwork altogether and just lern dependencis to enertive function?

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