Study program
automotive and energy sectors A3: Deep learning for inverse problems and digital pathology Moreover, the following advanced reading courses took place: Bayesian Deep Learning (winter term 2019/20) [Johannes Leuschner [...] Gideon Klaila] Machine Learning Methods (summer term 2021) [Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Eva Dierkes, Vladimir Vutov, Serhat Günay, Pascal Rink] Deep Learning Optimizers (summer [...] Causal Inference A3: Introduction to Deep Learning & PyTorch Moreover, the following advanced reading courses took place: Constrained Optimization and Deep Learning (winter term 2022/23) [Ivan Mykhailiuk