5min chapter

Machine Learning Street Talk (MLST) cover image

#64 Prof. Gary Marcus 3.0

Machine Learning Street Talk (MLST)

CHAPTER

Extrapolation Versus Interpolation?

Amlcoon and randall balsereron say neural networks are always extrapolating. What's a more useful definition of extrapolation versus interpolation that doesn't just fall apart in very high dimension? Ta, background cow finds everything with grasses as cows because it had a gregree all the time. The system is mimicking your credit card number or whatever it finds in the data base. And this is why you want some things to be done with symbolic operations,. Because you can define them so that you're not at the mercy of in my training set for these questions.

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