392265 ISY Project: Deep Learning (Pj) (SoSe 2023)
Contents, comment
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In this project, you will gain practical experience with State of the Art deep learning models:
The Best of NeurIPS 2022: https://youtu.be/Io6r7K2-TGQIn case the proposal would not attract enough students for a team project, I'd adapt it into an individual project or a project for two students (tandem project).
Requirements for participation, required level
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Required skills
- Theoretical and practical experience with Deep Learning
- Python experience > 1 year.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded 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.
No more requirements
No eLearning offering available
- Registered number: 4
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2023_392265@ekvv.uni-bielefeld.de
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- Coverage:
- 3 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:
- Friday, February 3, 2023
- Last update times:
- Friday, February 3, 2023
- Last update rooms:
- Friday, February 3, 2023
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=403130944
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