This repository contains the code and notebooks shown during the course lab tutorials
Lecturer: Prof. Emanuele Rodolà
Course website: DLAI-s2-2020
Assistants: Dr. Luca Moschella, Dr. Antonio Norelli
| Date | Topic | Code | Open in Colab |
|---|---|---|---|
| Wed 4 Mar | Tensors basics | notebook |  |
| Wed 11 Mar | Tensor operations | notebook | |
| Wed 18 Mar | Linear models and Pytorch Datasets | notebook | |
| Wed 25 Mar | Logistic Regression and Optimization | notebook | |
| Wed 1 Apr | Autograd and Modules | notebook | |
| Wed 8 Apr | Convolutional Neural Networks | notebook | |
| Wed 29 Apr | Uncertainty, regularization and the deep learning toolset | notebook | |
| Wed 6 May | Variational Autoencoders (VAEs) | notebook | |
| Wed 13 May | Geometric Deep Learning | notebook | |
| Wed 20 May | CycleGAN and Adversarial Attacks | notebook | |
Clone repository, install dependencies and ipython kernel:
git clone git@github.com:lucmos/DLAI-s2-2020-tutorials.git
cd DLAI-s2-2020-tutorials
poetry install
poetry run ipython kernel install --name "DLAI-s2-2020-tutorials" --user
poetry run jupyter notebook