392127 Applied Deep Learning (V) (WiSe 2022/2023)
Contents, comment
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Lecture 01 - Intro (video): https://uni-bielefeld.sciebo.de/s/OQVnnb1WDn0SED1
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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 | 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.
Types of exams and conditions for credits.
Option 1: Oral exam with mark about the lecture topics. Successful oral exam yields 5 credits.
Option 2: The exercise tasks are done within a mini-project. Finally there is an oral exam with questions about the mini-project. Successful miniproject report and oral exam with questions about the mini-project yields 5 credits.
- Registered number: 29
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- WS2022_392127@ekvv.uni-bielefeld.de
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- 18 Students to be reached directly via email
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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)
- lecture (V) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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