2min chapter

Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

The Inductive Priad in Inductive Programming

Ye, i think it depends a little bit on the kind of inductive priad in the incode architecture. So if it uses a c and n that has translational equiterian, they actually are equeverent. But that means it would work rather well for chops. It would learn that if this particular square in this particular square isn' the same image. If you started doing things like rotations and scale transformations, then it would struggle to even recognize those two things as being the same.

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