Summer school "Deep Learning and applications"
de
lundi 29 août 2022 (09:00)
à
vendredi 2 septembre 2022 (16:00)
lundi 29 août 2022
09:00
Introduction to Deep Learning (part 1) - L. Bois
Introduction to Deep Learning (part 1) - L. Bois
09:00 - 10:30
Room: Salle de conférence
Contributions
09:00
Introduction to Deep Learning (part 1)
-
Léo Bois
(
Université de Strasbourg
)
11:00
Generative models for images (part 1) - B. Galerne
Generative models for images (part 1) - B. Galerne
11:00 - 12:30
Room: Salle de conférence
Contributions
11:00
Generative models for images
-
Bruno Galerne
14:00
Introduction to Deep Learning (practical) - L. Bois
Introduction to Deep Learning (practical) - L. Bois
14:00 - 16:00
Room: Salle de conférence
Contributions
14:00
Introduction to deep learning (practical)
-
Léo Bois
(
Université de Strasbourg
)
16:30
Talk
Talk
16:30 - 17:30
Room: Salle de conférence
mardi 30 août 2022
09:00
Introduction to Deep Learning (part 2) - L. Bois
Introduction to Deep Learning (part 2) - L. Bois
09:00 - 10:30
Room: Salle de conférence
11:00
Introduction to deep learning on graphs (part 1) - S. Vaiter
Introduction to deep learning on graphs (part 1) - S. Vaiter
11:00 - 12:30
Room: Salle de conférence
14:00
Introduction to deep learning on graphs (practical) - S. Vaiter
Introduction to deep learning on graphs (practical) - S. Vaiter
14:00 - 16:00
Room: Salle de conférence
16:30
N. Padoy
N. Padoy
16:30 - 17:30
Room: Salle de conférence
mercredi 31 août 2022
09:00
Generative models for images (part 2) - B. Galerne
Generative models for images (part 2) - B. Galerne
09:00 - 10:30
Room: Salle de conférence
11:00
Introduction to deep learning on graphs (part 2) - S. Vaiter
Introduction to deep learning on graphs (part 2) - S. Vaiter
11:00 - 12:30
Room: Salle de conférence
14:00
Generative models for images (practical) - B. Galerne
Generative models for images (practical) - B. Galerne
14:00 - 16:00
Room: Salle de conférence
jeudi 1 septembre 2022
09:00
Deep Learning and dynamical systems: applications in neuroimaging (part 1) - F. Rousseau
Deep Learning and dynamical systems: applications in neuroimaging (part 1) - F. Rousseau
09:00 - 10:30
Room: Salle de conférence
11:00
Convolutional Neural Networks for object dectection (part 1) - D. Cornu
Convolutional Neural Networks for object dectection (part 1) - D. Cornu
11:00 - 12:30
Room: Salle de conférence
12:30
Lunch at restaurant
Lunch at restaurant
12:30 - 14:00
14:00
Deep Learning and dynamical systems: applications in neuroimaging (practical) - F. Rousseau
Deep Learning and dynamical systems: applications in neuroimaging (practical) - F. Rousseau
14:00 - 16:00
Room: Salle de conférence
16:30
R.Ibata
R.Ibata
16:30 - 17:30
Room: Salle de conférence
vendredi 2 septembre 2022
08:30
Deep Learning and dynamical systems: applications in neuroimaging (part 2) - F. Rousseau
Deep Learning and dynamical systems: applications in neuroimaging (part 2) - F. Rousseau
08:30 - 10:00
Room: Salle de conférence
10:30
Convolutional Neural Networks for object dectection (part 2) - D. Cornu
Convolutional Neural Networks for object dectection (part 2) - D. Cornu
10:30 - 12:00
Room: Salle de conférence
14:00
Convolutional Neural Networks for object dectection (practical) - D. Cornu
Convolutional Neural Networks for object dectection (practical) - D. Cornu
14:00 - 16:00
Room: Salle de conférence