 | Study programme 2023-2024 | Français | |
| Introduction to Deep Learning | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| S-INFO-114 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 8 | 8 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
The course will include a presentation and exercises on the following aspects:
- introduction and identification of application cases that justify this type of approach.
- preparation of training datasets.
- definition of appropriate algorithmic architectures.
- experimentation within software, hardware and cloud ecosystems.
Required Learning Resources/Tools
All learning resources and tools required for this cours are available via Moodle, the online e-learning platform of UMONS.
Recommended Learning Resources/Tools
Additional recommended material is also accessible through Moodle, the online e-learning platform of UMONS.
Other Recommended Reading
Not applicable
Mode of delivery
- Face-to-face
Type of Teaching Activity/Activities
- Cours magistraux
- Exercices dirigés
- Utilisation de logiciels
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
Location of learning activity
- Université de Mons - Mons
Location of assessment
- Université de Mons - Mons