Deep learning: Schedule

10.03.2023: Lecture 1

17.03.2023: Lecture 2

  • Backpropagation algorithm

  • Regularization techniques

  • Better optimizers

Download slides

24.03.2023: Lab exercise 1 & 2

See the lab exercise page

31.03.2023: Lecture 3

Lecture by Michèle Sebag

7.04.2023: Pytorch

  • Introduction to Pytorch slides

  • Lab exercice 3, see the lab exercise page

14.04.2023: Lab exercise 4

See the lab exercise page

21.04.2023: Exam

WARNING: in the afternoon!

Last year exam