DeepLearning-Cheatsheet

Cheat sheet for the Deep Learning course at ETH Zurich (2024).

Contents

1. Connectionism
2. Linear Networks
3. Gradient-Based Learning
4. Convolutional Networks
5. Recurrent Neural Networks
6. Transformers
7. Geometric Deep Learning
8. Optimization
9. Regularization & Propagation
10. Theory
11. Generative Models
12. Advanced Topics
13. Miscellaneous

Contributors

Rufat Asadli, Armin Begic, Thorveig Frimannsdottir, Sari Issa, Jan Schlegel, Philemon Thalmann