392205 ISY Project: Deep Learning (Pj) (WiSe 2021/2022)
Contents, comment
-
In this project / thesis, you will gain practical experience with Deep Learning Architectures. We will choose one of the competitions on www.aicrowd.com and apply Deep Learning models to solve a selected problem.
Requirements for participation, required level
-
Introduction to Neural Networks course or Advanced Neural Networks
Python or C++ (>= 1 year)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 11.10.2021-04.02.2022 |
Hide passed dates << Edit date display
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P1_NWI Project 1 | Projekt 1 | Ungraded examination
|
Student information |
| 39-M-Inf-P_ver1 Project | 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.
- Address:
- WS2021_392205@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_298255849@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Tuesday, July 13, 2021
- Last update times:
- Tuesday, July 13, 2021
- Last update rooms:
- Tuesday, July 13, 2021
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=298255849
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 298255849