INFO8010 - Deep Learning
Lectures for INFO8010 Deep Learning, ULiège, Spring 2026.
- Instructor: Gilles Louppe
- Teaching assistants: Fanny Bodart, Elise Faulx, Julien Brandoit, Sacha Peters
- When: Spring 2026, Friday 8:30 AM
- Classroom: B28 / Mania Pavella amphitheater
- Discord: https://discord.gg/5yZqTZhXFW
Agenda
Homeworks
The goal of these two assignments is to get you familiar with the PyTorch library. You can find the installation instructions in the Homeworks folder. Each homework should be done in groups of 2 or 3 (the same as for the project) and must be submitted before 23:59 on the due date. Homeworks should be submitted on Gradescope.
- Homework 1: Tensor operations,
autogradandnn. Due by March 15, 2026. - Homework 2: Dataset, Dataloader, running on GPU, training a convolutional neural network. Due by March 29, 2026.
Homeworks are optional. If submitted, each homework will account for 5% of the final grade.
Project
See instructions in project.md.
Archives
Previous editions
Archived lectures
Due to progress in the field, some of the lectures have become less relevant. However, they are still available for those who are interested.
| Topic |
|---|
| Recurrent neural networks [PDF] [video] |
| Generative adversarial networks [PDF] [video] |