Prof. Dr. - Ing. Morris Riedel

Selected Comparisons Machine Learning and Deep Learning 0

Talks

Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications

Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications Invited Talk International Conference on: Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing University of Bonn, Germany 2018-04-05 [ Event ] [ Slides ~6.99 MB (pdf) ] Invited talk at the University of Bonn @UniBonn about comparisons between machine learning & deep learning in earth sciences driven by @DEEPprojects & @fzj_jsc as part of the Terrestrial Systems Research Conference co-organized by @fz_juelich & @HPSCTerrSys with good discussions! pic.twitter.com/I7OtVLTnCY — Morris Riedel (@MorrisRiedel) April 6, 2018

Morris Riedel Deep Learning 0

Research

Deep Learning

Deep Learning Deep Learning Research Fog Detection using Deep Learning Research activities of PhD Student Ernir Erlingsson under the umbrella of the DEEP-EST EU Project. Interesting Deep Learning Links http://www.fz-juelich.de/ias/jsc/EN/AboutUs/Organisation/FederatedSystemsandData/CrossSectionalTeamDeepLearning/_node.html Page of the cross-sectional team deep learning of the Juelich Supercomputing Centre in Germany. https://deeplearning4j.org/neuralnet-overview Interesting introduction to Deep Neural Networks (Deep Learning) including use cases and choosing related networks. Long-Short Term Memory (LSTM) Regularization Links https://machinelearningmastery.com/use-weight-regularization-lstm-networks-time-series-forecasting/ Interesting short tutorial on how to use regularization with LSTM models that often overfit training data lowering predictive performance. It covers a Shampoo Sales dataset example, experimental test harness, bias weight and input...

Automated Soccer Scene Tracking Using Deep Neural Networks IAS Symposium 2016 Poster 0

Talks

Automated Soccer Scene Tracking Using Deep Neural Networks

Poster – Automated Soccer Scene Tracking Using Deep Neural Networks Bodenstein, C., Goetz, M., Riedel, M., Automated Soccer Scene Tracking Using Deep Neural Networks, the Institute for Advanced Simulation (IAS) – Symposium, December 5 – 6, 2016, Juelich, Germany [ EVENT ] [ JUSER ] [ PDF (~ 3,48 MB) ]