This repository provides course materials for a deep learning class taught at ULiège. It includes lecture notes in markdown and PDF formats covering fundamentals like polynomial regression, multi-layer perceptrons, automatic differentiation, and practical coding assignments implemented as Jupyter notebooks using PyTorch. The course is structured for Spring 2026 with topics progressing from machine learning basics to more advanced concepts.