Lectures
Lectures will be held on Wednesday 10:15 - 12:00 in 1019.
Zoom link to lectures: (log into courses to see link)
Practice sessions
All practice sessions are held right after the lecture on Wednesday 12:15 - 14:00 in room 1019.
Zoom link for practice sessions: (log into courses to see link) (the same as for the lectures)
In practice sessions we will be working in Colab, Python 3 and from one point with PyTorch. Ideally, familiarize yourself with NumPy, Pandas and Colabs before the practice sessions.
The schedule
The following schedule is subject to change. Please check Slack for announcements.
| Lecture # | Date | Title | Slides | Recordings | Notebook | |
|---|---|---|---|---|---|---|
| Lecture 01 | February 12 | Introduction to course and CV | ||||
| Lecture 02 | February 19 | Deep Dive into CNNs (part I) | ||||
| Lecture 03 | February 26 | Deep Dive into CNNs (part II) + Kahoot | ||||
| Lecture 04 | March 5 | Advanced topics in CV: object detection | ||||
| Lecture 05 | March 12 | Advanced topics in CV: segmentation + Kahoot | ||||
| Lecture 06 | March 19 | Vision Transformers (part I) | ||||
| Lecture 07 | March 26 | Vision Transformers (part II) | ||||
| Lecture 08 | April 2 | Image Generation (part I) | ||||
| Lecture 09 | April 9 | Image Generation (part II) + Kahoot | ||||
| Lecture 10 | April 16 | Deployment (TBA) | ||||
| Lecture 11 | April 23 | Guest speaker (TBA) | ||||
| Lecture 12 | April 30 | Computer Vision in Medicine | ||||
| Lecture 13 | May 7 | Explainable AI | ||||
| Lecture 14 | May 14 | Ethical AI research | ||||
| Lecture 15 | May 21 | Potentially a break (TBC) | ||||
| Lecture 16 | May 28 | Final project presentations | ||||