2min chapter

Machine Learning Street Talk (MLST) cover image

061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

Machine Learning Street Talk (MLST)

CHAPTER

Interporation in a Deep Neural Network

In the latin space, you have hundreds of dimensions, and you sample those guils from a guchan distribution. That lies in the interporation regime as soon asa dimensionality is greater tanlesssay, 15 or 20. Of course, if your ar generative, natoagjust a spits out a constant, then in picter space you will have interporation. But this is degenerated by definition. So we'll have to have a sort of flossy, a compression of othertyp and then you can try to wich ther with mare chances. i think you just steel manned the argument for interpolation so that what folks do, argue

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