A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2 @MITCBMM
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2  @MITCBMM
Uploaded August 2021 | Updated September 2026, 1 week ago
Tomaso Poggio, MIT
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2CBMM10: WelcomeCBMM10 - Marc RaibertThe neural basis of consciousnessLeveraging the Allen Brain ObservatoriesHow can looking at a hearts electrical signals save lives?Diffusion and Score-Based Generative ModelsTowards Understanding Deep Classifiers through Neural CollapseInvariance and equivariance in brains and machinesAllen Brain ObservatoriesCBMM10 - Charles IsbellWhen was anesthesia first used?
MITCBMM |

A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER