Advanced Topics in Deep Learning (Master)
(engl. Advanced Topics in Deep Learning (Master))
Modulnummer: FIN-INF-120496 |
| Link zum LSF: | LSF |
| Verantwortung: | Sebastian Stober |
| Dozent:in: | Sebastian Stober |
| Lehrveranstaltungen: | Advanced Topics in Deep Learning |
| Verwendbarkeit: | - M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Learning Methods and Models for Data Science - M.Sc. DE: Methoden der Informatik - M.Sc. VC: Computer Science |
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Kürzel ATDL |
CP 6 |
Semester jedes |
Fachsem. ab 1. |
Dauer 1 Semester |
Sprache deutsch |
Niveau Master |
Angestrebte Lernergebnisse:
Students ...
- can read and analyze current research papers
- apply deep learning to an application domain
- gain in-depth knowledge In the application domain
- learn to work efficiently in a team on scientific problems
- learn to work on a server infrastructure
- present scientific results in a written and oral form
Inhalt:
- Current topics from deep learning research
- Create domain-specific deep learning pipelines
- The application domain will be announced
beforehand
Arbeitsaufwand:
- 30h in person
- 150h self-study
| Studien-/Prüfungsleistungen: | Lehrform / SWS: |
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Vorlesung/Seminar (2 SWS) |
| Voraussetzungen nach Prüfungsordnung: | Empfohlene Voraussetzungen: |
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none |
Introduction to Deep Learning |
| Medienformen: | Literatur: |
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Hinweise: