This lecture will consider various unsupervised and instance-based learning approaches before turning back to deep neural networks. In the exercises will replicate various classical applications of neural network methods to interesting real-world problems.
The lecture will be given in English language if desired by the audience.
Slides will be in English in any case.
recommended prerequisites:
- Machine Learning basics
- Neural Networks basics
Frequency | Weekday | Time | Format / Place | Period | |
---|---|---|---|---|---|
weekly | Mi | 8-10 | X-E0-226 | 09.10.2023-02.02.2024
not on: 11/1/23 / 12/27/23 / 1/3/24 |
Module | Course | Requirements | |
---|---|---|---|
39-M-Inf-AI-adv-foc_ver1 Advanced Artificial Intelligence (focus) | Advanced Artificial Intelligence (focus): Vorlesung | Graded examination
|
Student information |
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.
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