---
# System prepended metadata

title: Deep Learning - University of Amsterdam
tags: [Archive]

---

# Deep Learning - University of Amsterdam

## Plan
Each subheading below links to the relevant tutorial. Suggestion:
- Meet for discussions every week.
- For each meeting, watch relevant lectures (if any exist), and go over the relevant tutorial (i.e. at least running the code on colab if possible).
- Add doubts/questions/comments etc. relevant to each tutorial under the relevant subheading below.

### Relevant links
- [Lectures](https://www.youtube.com/watch?v=PQTSg7OQ8fI&list=PLdlPlO1QhMiDlES3Vck6oQwO3TMYbdZDk) (Note: Lecture 1 is at the end of the playlist)
- [Tutorials](https://uvadlc-notebooks.readthedocs.io/en/latest)



## [PyTorch](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial2/Introduction_to_PyTorch.html)

## [Activation Functions (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial3/Activation_Functions.html)

## [Optimization and Initialization (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial4/Optimization_and_Initialization.html)

## [Inception, ResNet, DenseNet (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial5/Inception_ResNet_DenseNet.html)

## [Transformers and Multi-Headed Attention (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial6/Transformers_and_MHAttention.html)

## [Graph Neural Networks (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial7/GNN_overview.html)

## [Deep Energy-Based Generative Models (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial8/Deep_Energy_Models.html)

## [Deep Autoencoders (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial9/AE_CIFAR10.html)

## [Adversarial Attacks (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial10/Adversarial_Attacks.html)

## [Normalizing Flows for Image Modeling (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial11/NF_image_modeling.html)

## [Autoregressive Image Modeling (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial12/Autoregressive_Image_Modeling.html)

## [Vision Transformers (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial15/Vision_Transformer.html)

## [Meta-learning (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial16/Meta_Learning.html)

## [Self-supervised Contrastive Learning (PyTorch)](https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial17/SimCLR.html)

