Deep learning has achieved formidable results in the image analysis field in recent years, in many cases exceeding human performance. This success opens paths for new applications, entrepreneurship and research, while making the field very competitive.
This course aims at providing the students with the theoretical and practical basis for understanding and using deep learning for image analysis applications.
Lecturers
Courses will take place at:
PariSanté Campus
2-10 rue Rue d'Oradour-sur-Glane
75015 PARIS
Schedules and classrooms are available here: https://www.lamsade.dauphine.fr/wp/iasd/wp-content/uploads/sites/9/2023/09/edt_sept_2023.pdf
Courses will take place at:
PariSanté Campus (Classroom S 0.8)
2-10 rue Rue d'Oradour-sur-Glane 75015 PARIS
According to the following schedule:
| Date | Time |
| 06/01 | 13h45 |
| 13/01 | 13h35 |
| 20/01 | 13h45 |
| 27/01 | 13h45 |
| 03/02 | 13h45 |
| 10/02 | 13h45 |
| 17/02 | 13h45 |
| 24/02 | 13h45 |
The course material is available here:
| Date | Time | Classroom |
| 20/09 | 13h45 | MDM-AB |
| 27/09 | 13h35 | |
| 04/10 | 13h45 | |
| 11/10 | 13h45 | |
| 19/10 | 13h45 | |
| 25/10 | 13h45 | |
| 02/11 | 13h45 | |
| 8/11 | 13h45 |
The course will be held at Mines Paris: 60 Bd. Saint-Michel (Paris 6ème). Classrooms are given in the timetable below.
Each session (except the first) will begin with two hours of lectures, followed by one hour of practical work. The students must bring their laptops with a configured WiFi access to eduroam.
Lessons and notebooks can be downloaded from:
https://cloud.mines-paristech.fr/index.php/s/I1O04oMRIqxbgZD
| Date | Time | Classroom |
| 12/01 | 8h30-11h45 | L-224 |
| 19/01 | 8h30-11h45 | L-118 |
| 26/01 | 8h30-11h45 | L-213 |
| 02/02 | 8h30-11h45 | V-106A |
| 09/02 | 8h30-11h45 | 1-L-118 |
| 16/02 | 8h30-11h45 | L-316 |
| 23/02 | 8h30-11h45 | V-106A |
| 09/03 | 8h30-11h45 | L-109 |
| 23/03 (exam) | 10h00-11h30 | Dauphine, Amphi 9 |
| Date | Time | Classroom | Teaching assistant |
| 21/09 | 13h45 | L-218 | Tarek Zenati |
| 28/09 | 13h35 | L-213 | Mateus Sangalli |
| 05/10 | 13h45 | L-118 | Daniel Zyss |
| 12/10 | 13h45 | L-224 | Valentin Penaud-Polge |
| 20/10 | 9h00 | L-109 | Thomas Langrognet |
| 26/10 | 13h45 | L-109 | Martin Bauw |
| 02/11 | 13h45 | L-109 | |
| 9/11 | 13h45 | L-218 |
Link to download practical sessions material:
https://filesender.renater.fr/?s=download&token=5e619f45-40cd-4d42-b736-7adb973d5a3b
The following assignments will be available from:
Teaching assistants
Invited speakers
Teaching assistants
Invited speakers
Teaching assistants