UnivIS
Informationssystem der Friedrich-Alexander-Universität Erlangen-Nürnberg © Config eG 

AG Mathematics of Deep Learning

AG; Online/Präsenz; ECTS: 5; Mi, 14:00 - 16:00, H13
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
Tenbrinck, D.
Bungert, L.

Deep Learning [DL]

VORL; Online; 2 SWS; ECTS: 2,5; Information regarding the online teaching will be added to the studon course; Di, 12:15 - 13:45, H4
WPF INF-MA ab 1
WPF MT-MA-BDV 1
Maier, A.

Deep Learning Exercises [DL E]

UE; Online; 2 SWS; ECTS: 2,5; 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
WPF INF-MA ab 1 Breininger, K.
Thamm, F.
Denzinger, F.
    Mo12:00 - 14:000.01-142 CIP  Breininger, K.
Schröter, H.
    Di18:00 - 20:000.01-142 CIP  Breininger, K.
Schröter, H.
    Mi16:00 - 18:000.01-142 CIP  Breininger, K.
Schröter, H.
    Do14:00 - 16:000.01-142 CIP  Breininger, K.
Schröter, H.
    Fr8:00 - 10:000.01-142 CIP  Breininger, K.
Vesal, S.
Schröter, H.

Seminar Deep Learning Theory & Applications [SemDL]

SEM; 4 SWS; ben. Schein; ECTS: 5; Information regarding the online teaching will be added to the studon course; Mi, 10:15 - 11:45, 01.019
WPF INF-MA 1
WPF MT-MA-BDV 1
WPF CE-MA-TA-MT 1
Christlein, V.
Evert, S.
Kosti, R.
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