Exercise
Deep Learning in Energy Name in diploma supplement Deep Learning in Energy Organisational Unit Lehrstuhl für Data Science in Energy and Environment Lecturer Prof. Dr. Florian Ziel Cycle irregular SPW 2 Language English Participants at most 24 Participants BWL EaF Master Wahlpflichtbereich 1st-3rd Sem, Elective, Module Deep Learning in Energy ECMX Master Wahlpflichtbereich ME6 Applied Econometrics 1st-3rd Sem, Elective, Module Deep Learning in Energy GOEMIK Master Wahlpflichtbereich Bereich Betriebswirtschaftslehre 1st-3rd Sem, Elective, Module Deep Learning in Energy MuU Master Wahlpflichtbereich I Wahlpflichtbereich I A.: Methodologie und allgemeine Theorien zur Untersuchung von Märkten und Unternehmen 1st-3rd Sem, Elective, Module Deep Learning in Energy VWL Master Wahlpflichtbereich II 1st-3rd Sem, Elective, Module Deep Learning in Energy Preliminary knowledge See Lecture
Contents See Lecture
Literature See Lecture
Teaching concept Tutorials. The students apply the learned methods in a own real data project in python utilizing pytorch.
Exercise: Deep Learning in Energy (WIWI‑C1266) 