Unverified50% confidenceFactExact time
Double Descent refers to the phenomenon where over-parameterized neural networks should theoretically suffer from severe overfitting but in practice exhibit good generalization ability, and it remains an active area of research.
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50%
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Long-term
Relevance
8/13/2026
First Seen
Sources
泛化才是机器学习的核心:训练前决定成败的关键因素
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