Content

Lecture Lecturer Links
w1

1. Introduction

Peter Bloem playlist
pdf

2. Backpropagation

Peter Bloem playlist
pdf

3. Convolutions

Michel Cochez playlist
pdf
w2

3. Tools of the trade

Peter Bloem playlist
pdf

5. Sequences

Peter Bloem, David Romero playlist
pdf
w3

6. Latent Variable Models

Shujian Yu pdf

7. Unsupervised representation learning

Shujian Yu pdf
w4

8. Learning with graphs

Michael Cochez playlist
pdf

9. Transformers and self-attention

Peter Bloem playlist
pdf
w5

10. Reinforcement learning

Vincent Francois-Lavet pdf
w6

11. Diffusion models

Peter Bloem playlist
pdf

12. Generalization

Shujian Yu pdf

Last year’s content

lecturer videos slides
week 1 Introduction Jakub Tomczak A, B, C, D pdf
Backpropagation Peter Bloem A, B, C, D pdf
Convolutional Neural Networks Michael Cochez A, B, C, D pdf
week 2 Sequential data Peter Bloem A, B, C, D, E* pdf
Tools of the trade Peter Bloem A, B, C, D pdf
week 3 Latent Variable Models (pPCA and VAE) Jakub Tomczak A, B, C pdf
GANs Jakub Tomczak A, B pdf
week 4 Learning with Graphs Michael Cochez playlist pdf
Transformers & self-attention Peter Bloem A, B, C pdf
week 5 Reinforcement learning Emile van Krieken A, B, C pdf
Reinforcement learning (extra) Emile van Krieken A, B, C pdf
Autoregressive and Flow-based models Jakub Tomczak A, B, C pdf