ENS Paris-Saclay M1 IA&ML: Image and video - 2025

Gabriele Facciolo

General info

ENS Paris-Saclay

Each course will have a part of Lecture and a part of Practical Session. The Practical Session will be based on Keras and Pytorch using colab notebooks.

Please, make sure to bring your own laptop

Schedule

1. – Tuesday 16/9 (1M07): 9h30-12h00 - Intro NN, backprop and CNN for classification

2. – Friday 19/9 (1Z25): 14h00-16h30 - Semantic segmentation

3. – Monday 22/9 (1B14): 14h00-16h30 - Object detection

4. – Tuesday 30/9 (1Z25): 14h00-16h30 - Transfer learning and representation learning

[Projects file]

Soutenances TBD

Slides and notebooks

1. Slides 1

   Notebook 0: jupyter notebook tutorial

   Notebook 0.5: not pytorch tutorial

   Notebook 1: Classification CNNs - pytorch

   (old) Notebook 1: Classification CNNs - keras