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Instructors: Prof. Dr. Stefan Wermter; Tayfun Alpay M.Sc.; Dennis Becker
Event type:
Seminar
Displayed in timetable as:
NN - Sem
Hours per week:
2
Credits:
3,0
Language of instruction:
English
Min. | Max. participants:
- | 60
More information:
Dear Students, due to the coronavirus the seminar will NOT be held on campus; please
ignore the given room numbers.
Seminar material will be provided online via script and video. Please check this STiNE
page for announcements and uploads of files. This will happen on Thursday, 23rd of April
and thereafter.
Comments/contents:
This seminar provides a focused overview of artificial neural network approaches and their use and integration into real-world knowledge-processing systems. A wide range of seminar topics are offered to students to choose from. These topics are based on current research in the area of neural networks, allowing the students to greatly deepen their knowledge in a chosen area, complementing concepts taught in the lecture.
For more details or updates see https://www.inf.uni-hamburg.de/en/inst/ab/wtm/teaching.html
Learning objectives:
Critically analyse and evaluate neural network models and scientific literature and present research in the area of knowledge processing with neural architectures.
Didactic concept:
Seminar with discussions. Students can chose either literature study or practical study of implemented neural models as a basis for their paper and presentation. For the practical choice, we will offer access to neural simulation enviroments or a new sophisticated robot simulator in our lab.
Literature:
Will be suggested in the first seminar session and is focused on recent articles in related journals.
https://www.inf.uni-hamburg.de/en/inst/ab/wtm/teaching/hints-seminar.html
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