AG Mathematics of Deep Learning

Dozentinnen/Dozenten:

Daniel Tenbrinck, Leon Bungert

Angaben:

Arbeitsgemeinschaft, ECTS: 5

Termine:

Mi, 14:00 - 16:00, H13

Studienrichtungen / Studienfächer:

WF M-MA ab 1
WF TM-MA ab 1
WF WM-MA ab 1
WF CAM-MA-MApA ab 1
WF CAM-MA-NASi ab 1
WF CAM-MA-Opti ab 1

Deep Learning [DL]

Dozent/in:

Andreas Maier

Angaben:

Vorlesung, 2 SWS, ECTS: 2,5, nur Fachstudium, Information regarding the online teaching will be added to the studon course

Termine:

Di, 12:15 - 13:45, H4

Studienrichtungen / Studienfächer:

WPF INF-MA ab 1
WPF MT-MA-BDV 1

Voraussetzungen / Organisatorisches:

The following lectures are recommended:

• Introduction to Pattern Recognition (IntroPR)

• Pattern Recognition (PR)

Application via https://www.studon.fau.de/crs3317670.html

Schlagwörter:

deep learning; machine learning

Deep Learning Exercises [DL E]

Dozentinnen/Dozenten:

Katharina Breininger, Florian Thamm, Felix Denzinger

Angaben:

Übung, 2 SWS, ECTS: 2,5, nur Fachstudium, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course

Studienrichtungen / Studienfächer:

WPF INF-MA ab 1

Schlagwörter:

deep learning; machine learning

Seminar Deep Learning Theory & Applications [SemDL]

Dozentinnen/Dozenten:

Vincent Christlein, Stefan Evert, Ronak Kosti

Angaben:

Seminar, 4 SWS, benoteter Schein, ECTS: 5, nur Fachstudium, Information regarding the online teaching will be added to the studon course

Termine:

Mi, 10:15 - 11:45, 01.019

Studienrichtungen / Studienfächer:

WPF INF-MA 1
WPF MT-MA-BDV 1
WPF CE-MA-TA-MT 1

Schlagwörter:

deep learning; neural networks; machine learning; pattern recognition; natural language processing