392222 Deep Learning (Ü) (WiSe 2018/2019)
Contents, comment
- No comment available
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| block | Block | 14-18 | 25.02.-01.03.2019 | ||
| block | Block | 14-18 | 25.02.-01.03.2019 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-AKS Applications of Cognitive Systems Anwendungen Kognitiver Systeme | Machine learning on the web or Modern Data Analysis or Soft Computing for Bioinformatics | 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
- Address:
- WS2018_392222@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_135901244@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Monday, February 11, 2019
- Last update times:
- Monday, June 25, 2018
- Last update rooms:
- Monday, June 25, 2018
- Type(s) / SWS (hours per week per semester)
- exercise (Ü) / 2
- Language
- This lecture is taught in english
- 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=135901244
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 135901244
Top of page