This repository supplements the Practical Deep Learning course taught during the spring semester of 2024 at the Université Lumière Lyon 2. The course is part of the "Atelier Data Science".
Lecture and practice materials for each week are stored in the ./n* folders. You can run all Jupyter Notebooks locally or in Google Colab.
To run the notebooks on a cloud platform, just click on one of the badges in the table below:
| Topic | Colab |
|---|---|
| 1 DL Foundations, Backpropagation |  |
| 2 CNNs | |
| 3 Optimization in DL | |
| 4 Batch Normalization | |