|
Instructors: Dennis Becker; Prof. Dr. Stefan Wermter
Event type:
Seminar
Displayed in timetable as:
NN - Sem
Hours per week:
2
Credits:
3,0
Language of instruction:
English
Min. | Max. participants:
- | 60
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.
Current Situation:
The course will be largely held online due to the current pandemic circumstances - the complete course material will be made available online. If possible, additional meetings in presence will be offered, as well as examinations in presence. Please check the messages in STiNE regularly after the official start of the course.
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
|
