061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Machine Learning Street Talk (MLST)
Intro
This chapter explores the complexities of interpolation and extrapolation in machine learning, highlighting the inherent limitations of deep learning methods. It emphasizes how high-dimensional spaces blur the lines between true interpolation and extrapolation, particularly when dealing with complex datasets like images.
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