Study programme 2023-2024 | Français | ||
Apprentissage profond | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
---|---|---|---|---|
I-ILIA-029 |
|
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Français | Français | 12 | 12 | 0 | 0 | 0 | Q2 |
Content of Learning Activity
- Reminder and terminology of machine learning;
- Deep neural networks (Deep Learning); -
- Learning process: Forward Propagation and Backward Propagation;
- Types of deep neural networks (MLP, CNN, Transformers, etc.)
- Deep learning for computer vision
- Explainable AI "XAI"
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
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
Location of assessment