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Lecture
Generalization in Deep Learning
Description
This lecture explores the trade-off between model complexity and risk, generalization bounds, implicit regularization, and the mystery of generalization in deep learning. It delves into double descent curves, algorithmic stability, boosting, and the dangers of overfitting complex function classes.
Official source
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