Attention networks and diffusion models reflect two classes of deep learning techniques that have gained utmost recent attention. In this seminar, we will review recent, related contributions. Thereby, we will focus in particular on the algorithmic and statistical elements of the approaches. We will further discuss the corresponding applications in areas where big data plays a major role, such as text processing, biology or social networks.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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24-M-P2 Profilierung 2 | Profilierungsseminar | Study requirement
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Student information |
39-M-Inf-ABDA Advanced Big Data Analytics / Big Data Machine Learning | Machine Learning and AI in Advanced Big Data Analytics | Ungraded examination
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Student information |
39-M-Inf-ABDA_a Advanced Big Data Analytics / Big Data Machine Learning | Machine Learning and AI in Advanced Big Data Analytics | Graded examination
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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.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
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Studieren ab 50 |