Deep Learning Essentials Tutorials
Welcome!
Welcome to the IVADO/Mila Deep Learning Essentials MOOC! In this repo, you will find all the material needed for completing the tutorials of the MOOC as well as some supplementary material.
Course Structure
These tutorials are complementary to the lectures and apply concepts that have been covered throughout the MOOC.
You will find in this github repo all tutorials in the tutorials folder. Each tutorial will be presented in two formats:
- one
TODOformat, in which templates are provided but code is left out for you to complete; - one
Solutionsformat where the suggested solutions to the tutorials are presented;
Practical Information
We will be presenting the tutorials in the format of Jupyter notebooks. In order to facilitate usage/setup of the notebooks, we will be using Google Colab which gives users access to an already setup python environment with all the necessary dependencies. It also gives access to free GPUs for cloud computation. Using Colab will require an internet connection. You can however use the notebooks locally if you so prefer but additional setup will be necessary.
Tutorials on Colab
Additional information
For more information about the deep learning MOOC, visit the official website.