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

Is There a Difference in a 16 by 16 Patch for Mnist?

Mnis goes much more quickly to extra poration regime, a fixed dimensionality in pixer space. If we are looking at emnist, but with two 24 by two 24, a special dimension, then you will not have this a differe any more. And it might even reverse. Even though it the same dimension for both, it does not represent the same proportion of image that is present within that partner. It's funny, because we had the opposite intuition. So figure four. You're showing then, on mnist, that more of the variance is explained with fewer of the princis components on on mnis. As you say, as us, those pictures on

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