Double Descent: Why Bigger Models Can Generalise Better After Getting Worse
Classical learning theory tells a tidy story. As a model gets more complex, training error falls, test error first falls and then rises, and the best model sits at the bottom of a U-shaped curve. That story is not wrong. It is incomplete. In modern machine learning, test error often falls, rises sh…
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- 2026-10-28 03:20 · DEV Community — Machine Learning
Double Descent: Why Bigger Models Can Generalise Better After Getting Worse