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 11 | Introduction to course and CV | |||
| Lecture 02 | February 18 | Deep Dive into CNNs (part I) | |||
| Lecture 03 | February 25 | Deep Dive into CNNs (part II) + Kahoot | |||
| Lecture 04 | March 4 | Advanced topics in CV: object detection | |||
| Lecture 05 | March 11 | Advanced topics in CV: segmentation + Kahoot | |||
| Lecture 06 | March 18 | Vision Transformers (part I) in Zoom by Yaroslav Prytula | |||
| Lecture 07 | March 25 | Vision Transformers (part II) in Zoom by Yaroslav Prytula | |||
| Lecture 08 | April 1 | Image Generation (part I) by Joonas Ariva | |||
| Lecture 09 | April 8 | Image Generation (part II) by Joonas Ariva | |||
| Lecture 10 | April 15 | Image Generation (part III) by Joonas Ariva | |||
| Lecture 11 | April 22 | Computer Vision in Medicine | |||
| Lecture 12 | April 29 | A break | |||
| Lecture 13 | May 6 | Guest Lecture | |||
| Lecture 14 | May 13 | Ethical AI research | |||
| Lecture 15 | May 20 | Explainable AI by Joonas Ariva | |||
| Lecture 16 | May 27 | Final project presentations | |||