RM+ML: 27. Time Evolution of Learning and Neural Tangent Kernel
53:13
RM+ML: 28. Properties of the Neural Tangent Kernel
1:36:12
RM+ML: 24. Calculation of the Random Feature Eigenvalue Distribution
1:14:52
Lecture 7 - Deep Learning Foundations: Neural Tangent Kernels
29:54
Audition de Yann LeCun, Professeur à NYU et Scientifique en chef sur l'IA à Meta.
1:13:12
RM+ML: 26. Gradient Descent for Linear Regression
30:47
On the Connection between Neural Networks and Kernels: a Modern Perspective -Simon Du
1:00:54
RM+ML: 17. Double Descent and Linear Regression: Over-Determined Case
1:19:51