/DLAI-s2-2020-tutorials

Deep Learning & Applied AI: Tutorials

Primary LanguageJupyter Notebook

Deep Learning & Applied AI: Tutorials

This repository contains the code and notebooks shown during the course lab tutorials

Logistics

Lecturer: Prof. Emanuele Rodolà

Course website: DLAI-s2-2020

Assistants: Dr. Luca Moschella, Dr. Antonio Norelli

Tutorials

Date Topic Code Open in Colab
Wed 4 Mar Tensors basics notebook Open In Colab
Wed 11 Mar Tensor operations notebook Open In Colab
Wed 18 Mar Linear models and Pytorch Datasets notebook Open In Colab
Wed 25 Mar Logistic Regression and Optimization notebook Open In Colab
Wed 1 Apr Autograd and Modules notebook Open In Colab
Wed 8 Apr Convolutional Neural Networks notebook Open In Colab
Wed 29 Apr Uncertainty, regularization and the deep learning toolset notebook Open In Colab
Wed 6 May Variational Autoencoders (VAEs) notebook Open In Colab
Wed 13 May Geometric Deep Learning notebook Open In Colab
Wed 20 May CycleGAN and Adversarial Attacks notebook Open In Colab

Running local notebooks

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