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), and Mustafa Shukor (mustafa.shukor[at]isir.upmc.fr).
- Group 1: 14/15 501 (First TP session with Nicolas Thome)
- Group 2: 14/15 502 (First TP session with Alasdair Newson)
- Group 3: 14/15 407 (First TP session with Mustafa Shukor)
- 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
20 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 Wednesday the 7th of November at 23:59PM. See homework instructions here.
1-ab: Intro to Neural Networks
27 september & 4 October.14-15, room 407, 501, and 502.
4PM to 6PM.
1-cd: Convolutional Neural Networks
11 October & 18 October.14-15, room 407, 501, and 502.
4PM to 6PM.
1-e: Transformers
25 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 Friday the 29th of December at 23:59PM. See homework instructions here.
2-a: Transfer Learning
8 November.14-15, room 407, 501, and 502.
4PM to 6PM.
2-b: Visualization
22 November.14-15, room 407, 501, and 502.
4PM to 6PM.
2-c: Domain Adaptation
6 December.14-15, room 407, 501, and 502.
4PM to 6PM.
2-de: Generative Adversarial Networks
13 December & 20 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 the 2nd of February 2024 at 23:59PM. See homework instructions here.
3-a: Bayesian linear regression
10 January 2024.14-15, room 407, 501, and 502.
4PM to 6PM.
3-b: Approximate inference
17 January 2024.14-15, room 407, 501, and 502.
4PM to 6PM.
3-c: Applications of uncertainty
24 January 2024.14-15, room 407, 501, and 502.
4PM to 6PM.