392128 Tutorials "Applied Deep Learning" (Ü) (WiSe 2022/2023)
Contents, comment
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the Applied Deep Learning lecture will start on Monday October 10th at 8:30am.
On October 10 we will meet in hybrid mode (Zoom and X-E0-216), some other weeks we will meet online only (Zoom).
Most of the lectures will be available in video recordings (check Discord - Lectures channel).
Tutorials will begin with the 3rd lecture (October 25th).Discord: https://discord.gg/9RTjvxVujm
Zoom: https://uni-bielefeld.zoom.us/j/92186588995?pwd=UGNXdm5XRVNwMFgxdXdWV25mS2tzUT09
Meeting ID: 921 8658 8995
Passcode: 123123--------------------------------------------------------
In this course, we will focus on practical approaches to deep learning connected to vision and decision making that lead to the following applications:
Deep Computer Vision
https://ni.www.techfak.uni-bielefeld.de/node/3680Autonomous Driving Systems
https://carla.orgDeep Face Editing with StyleGAN
https://ni.www.techfak.uni-bielefeld.de/node/3682--------------------------------------------------------
Tutorials will focus on several challenges, for example:
https://www.aicrowd.com/challenges/learn-to-race-autonomous-racing-virtual-challenge
https://www.aicrowd.com/challenges/epfl-ml-road-segmentation
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-VML Vertiefung Maschinelles Lernen | Vertiefung Maschinelles Lernen | 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.
- Registered number: 22
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- WS2022_392128@ekvv.uni-bielefeld.de
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- Coverage:
- 20 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
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- Last update basic details/teaching staff:
- Tuesday, July 26, 2022
- Last update times:
- Monday, October 10, 2022
- Last update rooms:
- Monday, October 10, 2022
- Type(s) / SWS (hours per week per semester)
- Ü / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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