392173 Vertiefung Neuronale Netze (V) (WiSe 2019/2020)
Contents, comment
-
- Topological Maps: Self-Organizing Maps, Growing Neural Gas, Hyperbolic SOM, Local Linear Maps
- Mixture Models: Gaussian Mixture Models, Gaussian Mixture Regression, Gaussian Processes
- Recurrent Neural Nets: Dynamics, Stability, applications: Hopfield net, CLM, ...
- Graph Networks: Processing Structural Information
- Generative Models: Generative Adversarial Networks (GAN), Actor-Critic, Variational Autoencoders
- Deep Reinforcement Learning
The lecture will be given in English language if desired by the audience.
Slides will be in English in any case.
Requirements for participation, required level
-
recommendd prerequisites:
- Machine Learning basics
- Neural Networks basics
External comments page
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 8-10 | C01-258 | 07.10.2019-31.01.2020
not on: 11/20/19 / 12/25/19 / 1/1/20 / 1/8/20 / 1/15/20 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-VNN Vertiefung Neuronale Netze | Vertiefung Neuronale Netze | Ungraded examination
Graded 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: 23
- 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:
- WS2019_392173@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_178540621@ekvv.uni-bielefeld.de
- Coverage:
- 8 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Tuesday, June 18, 2019
- Last update times:
- Monday, October 14, 2019
- Last update rooms:
- Monday, October 14, 2019
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 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=178540621
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 178540621
Top of page