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HomeMIT 6.7960 Deep Learning, Fall 2024Lec 06. Generalization Theory
MIT 6.7960 Deep Learning, Fall 2024
Video 6 of 10
Lec 06. Generalization Theory
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Lec 07. Scaling Rules for Optimization
This video covers basic generalization theory, exploring overparameterization, double descent, and the limitations of VC dimension. It also discusses the role of inductive biases in deep learning.