Passer au contenu principal
Panneau latéral
Accueil
Plus
Français (fr)
English (en)
Français (fr)
Vous êtes connecté anonymement
Connexion
Accueil
Ouvrir l’index du cours
CS-526
29 - 30 April
tensor lect 1
tensor lect 1
Cliquer le lien
Tensor methods Lecture 1.pdf
pour afficher le fichier.
◄ 2nd graded hmw 6
Aller à…
Aller à…
Announcements
Discussion and questions
PAC learning framework
Finite classes and uniform convergence
solution 1
No free lunch theorem
extrahmw-Hoeffding.pdf
solution 2
Learning infinite classes I
homework 3 graded
solution-hmw-3-graded
Learning infinite classes II (VCdim)
Part I - Bias Viariance Decomposition and Double Descent
Homework 4
Solution Homework 4
Two models of weak features by Belkin, Hsu, Xu
First graded homework (HW3)
Part II - Double descent phenomenon and derivation for the weak features model
Homework 5
Moore Penrose hmw
Moore Penrose solution
Homework 5 solution
Gradient descent
Stochastic gradient descent
homework 6 graded
solution hmw 6 (graded)
Mean field approach for two layer NNs part I
Mean field approach to two layer NNs part II
Lecture on two layer neural networks (by Andrea Montanari)
Additional Exercises on GD & SGD
Solution to Extra HWs
2nd graded hmw 6
tensor lect 1 cont
Homework 7 (Graded)
tensor lect 2
tensor lect 2 cont
Homework 8
Solution 8
tensor lect 3
tensor lect 3 cont
tensor lect 4 cont
tensor lect 4
homework 9
3rd Graded homework (Homework 7)
homework 11
solution 11
exam 2019
exam 2020
exam 2021
exam 2022
tensor lect 1 cont ►
Contact
EPFL CH-1015 Lausanne
+41 21 693 11 11
Suivre les pulsations de l'EPFL sur les réseaux sociaux
Accessibilité
Mentions légales
Protection des données
© 2023 EPFL, tous droits réservés
