Course
Deep Learning and Computer Vision, HS 2026
| # | Lecture | Materials | Study |
|---|---|---|---|
| 1 | Intro to Machine Learning | video · slides · board notes | conspect quiz 6 attempts |
| 2 | Linear Models and Intro to Deep Learning | video · slides · board notes | conspect quiz 6 attempts |
| 3 | Gradient Descent and General DL Remarks | video · slides · board notes | conspect quiz 6 attempts |
| 4 | Convolutional Neural Networks | video · slides · board notes | conspect quiz 6 attempts |
| 5 | Convolutional Architectures and Beyond | video · slides · board notes | conspect quiz 6 attempts |
| 6 | Attention and Transformers | video · slides · board notes | conspect quiz 6 attempts |
| 7 | Vision Transformers and Object Detection | video · slides · board notes | conspect quiz 6 attempts |
| 8 | Generative Adversarial Networks | video · slides · board notes | conspect quiz 6 attempts |
| 9 | VAE and Diffusion Models | video · slides · board notes | conspect quiz 6 attempts |