This course offers a probabilistic perspective to machine learning, applied to visual computing applications. A central theme is the learning of neural scene representations from labeled and unlabeled data. The students will present recent papers on computer graphics and computer vision. Practical experiences for applying probabilistic models in pytorch are gained in the assignments and tutorials.
The course is largely based on the Visual AI course I gave at UBC: https://www.cs.ubc.ca/~rhodin/2022_2023_CPSC_533R/
excellent Python programming skills, fundamental mathematics, basics of machine learning or neural networks.
Frequency | Weekday | Time | Format / Place | Period | |
---|---|---|---|---|---|
weekly | Mi | 14-16 | X-E0-207 | 08.04.-19.07.2024
not on: 5/1/24 |
Module | Course | Requirements | |
---|---|---|---|
39-M-Inf-AI-app Applied Artificial Intelligence | Applied Artificial Intelligence: Seminar | Student information | |
- | Graded examination | Student information | |
39-M-Inf-AI-app-foc Applied Artificial Intelligence (focus) | Applied Artificial Intelligence (focus): Seminar | Student information | |
- | Ungraded examination Graded examination | Student information | |
39-M-Inf-INT-app Applied Interaction Technology | Applied Interaction Technology: Seminar | Student information | |
- | Graded examination | Student information | |
39-M-Inf-INT-app-foc Applied Interaction Technology (focus) | Applied Interaction Technology (focus): Seminar | Student information | |
- | Ungraded examination Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
---|---|---|---|---|---|---|---|
Studieren ab 50 |
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: