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Course contents include brain and EEG, experiment design, signal processing, visualization, machine learning, evaluation. Before the start of the course, a Python introduction must be completed (time-flexible)
Section: FB3
full load electrical power output of a base load operated combined cycle power plant using machine learning methods. The associated dataset is available at the following link. Elementary programming skills
during typical mobile activities in real life outdoor environments. Most participants were able to learn the meaning of specific symbols in a short time span. They could further reliably remember them a
Graduiertenkolleg Interdisciplinary learning programs on the subject of digital media for scholarship holders. Information Funded by the Klaus Tschira Stiftung (KTS) Duration: 2007 - 2014 Contact: Dr.-Ing
2020 - Code Sprint © RTG π³ Overview The summer school on Code Sprint - Benchmarking Deep Learning based CT Image Reconstruction Methods is organized by: Prof. Dr. Peter Maaß (ZeTeM, Bremen) Dr. Maureen