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/3680
Autonomous Driving Systems
https://carla.org
Deep 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
--------------------------------------------------------
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
---|
Modul | Veranstaltung | Leistungen | |
---|---|---|---|
39-M-Inf-VML Vertiefung Maschinelles Lernen | Vertiefung Maschinelles Lernen | unbenotete Prüfungsleistung
benotete Prüfungsleistung |
Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.