This repository provides educational materials for a deep learning course taught at École Polytechnique. The content includes interactive Jupyter notebooks covering topics such as neural network implementation from scratch, PyTorch tensor operations, automatic differentiation, and transfer learning with pretrained models like VGG. Students work through practical exercises on classification tasks, MLPs, and autodiff concepts.