# Tutorials and Courses

## Tutorials

* [Continual Learning with Neural Networks](https://docs.google.com/presentation/d/1Ukatz11S8sjC40VH293uY91rC3wQLPxiT0R-lOpju7k/edit?usp=sharing)Tutorial @ INNS Big Data and Deep Learning 2019 \[German I. Parisi and Vincenzo Lomonaco]
* [Never-Ending Learning](https://sites.google.com/site/neltutorialicml19/)Tutorial @ ICML 2019 \[Tom Mitchell, Partha Talukdar]
* [Lifelong Machine Learning and Computer Reading the Web](http://www.cs.uic.edu/~liub/Lifelong-Machine-Learning-Tutorial-KDD-2016.pdf)Tutorial @ KDD-2016 \[Zhiyuan Chen, Estevam Hruschka and Bing Liu]
* [Lifelong Machine Learning Tutorial](http://www.cs.uic.edu/~liub/IJCAI15-tutorial.html)Tutorial @ IJCAI-2015 \[Zhiyuan Chen and Bing Liu]
* [ContinualAI/Colab Notebooks](https://github.com/ContinualAI/colab)Check the [readme](https://github.com/ContinualAI/colab/blob/master/README.md) for a brief guide on how to run the notebooks or use the links below for a non-interactive version:
  * [\[Notebook\] Open-Source Frameworks for Deep Learning: an Overview](https://github.com/ContinualAI/colab/blob/master/notebooks/intro_to_dl_frameworks.ipynb)
  * [\[Notebook\] A Gentle Introduction to Continual Learning in PyTorch](https://github.com/ContinualAI/colab/blob/master/notebooks/intro_to_continual_learning.ipynb)
  * [\[Notebook\] A simple Example of Continual Learning with Generative Replay](https://github.com/ContinualAI/colab/blob/master/notebooks/intro_to_generative_replay.ipynb)

## Courses

* [Continual Learning: On Machines that can Learn Continually](https://course.continualai.org/). University of Pisa, ContinualAI and IADA open-access course, 2021.
* [Continual Learning: Towards Broad AI](https://sites.google.com/view/ift6760-b2021/course-description?authuser=0)  Course @ Mila \[Instructor: Irina Rish; Teaching Assistants: Mojtaba Faramarzi and Touraj Laleh]
* [CPE884 - Aprendizado de Máquina Continuado](http://www.pee.ufrj.br/index.php/en/informacoes-academicas/disciplinas)