RDFIA - Master DAC - Sorbonne University
This page contains the practical sessions done for the RDFIA course.
The practical sessions are supervised by Nicolas Thome (nicolas.thome[at]sorbonne-universite.fr), Alasdair Newson (anewson[at]isir.upmc.fr), Jayneel Parekh (jayneelparekh[at]gmail.com) and Clement Rambour (rambour[at]isir.upmc.fr).
- Group 1: (First TP session with Alasdair Newson)
- Group 2: (First TP session with Clement Rambour)
- Group 3: (First TP session with Jayneel Parekh)
- First class: fill the form here for being registered in Moodle!
- Mattermost: register here, select RDFIA channel
All coding sessions will be done in Python3 and we'll use several libraries. Here are some useful links if you're rusty:
0: SIFT / Bag of Words / SVM
18 September.
14-15, room 407, 501, and 502.
4PM to 6PM.
Section 1: Basics on deep learning for vision
You need to submit the PDF of 1-ab, 1-cd, and 1-e on Moodle,
deadline is Tuesday the 29th of October 2024 at 23:59PM. See homework instructions here.
1-ab: Intro to Neural Networks
25 september & 2 October.14-15, room 407, 501, and 502.
4PM to 6PM.
1-cd: Convolutional Neural Networks
9 October & 16 October.14-15, room 407, 501, and 502.
4PM to 6PM.
1-e: Transformers
23 October.14-15, room 407, 501, and 502.
4PM to 6PM.
Section 2: Deep learning applications
You need to submit the PDF of 2-a, 2-b, 2-c, and 2-de on Moodle,
deadline is Tuesday the 24th of December 2024 at 23:59PM. See homework instructions here.
2-a: Transfer Learning
6 November.14-15, room 407, 501, and 502.
4PM to 6PM.
2-b: Visualization
20 November.14-15, room 407, 501, and 502.
4PM to 6PM.
2-c: Domain Adaptation
27 November.14-15, room 407, 501, and 502.
4PM to 6PM.
2-de: Generative Adversarial Networks
4 December & 18 december.14-15, room 407, 501, and 502.
4PM to 6PM.
Section 3: Bayesian deep learning
You need to submit the PDF of 3-a, 3-b, and 3-c on Moodle,
deadline is Tuesday 28 of January 2025 at 23:59PM. See homework instructions here.
3-a: Bayesian linear regression
8 January 2025.14-15, room 407, 501, and 502.
4PM to 6PM.
3-b: Approximate inference
15 January 2025.14-15, room 407, 501, and 502.
4PM to 6PM.
3-c: Applications of uncertainty
22 January 2025.14-15, room 407, 501, and 502.
4PM to 6PM.