Fog Detection Using Deep Learning 0

Fog Detection using Deep Learning

Fog Detection using Deep Learning See also Research activities driven by Ernir Erlingsson: http://www.ernire.org 2018-12-03 Workshop @ J├╝lich Supercomputing Centre, Germany Welcome Address – Juelich Supercomputing Centre (Morris Riedel) Slides PDF (10,2 MB) KNMI Data Lab (Jan Willem Noteboom) Slides PDF (7,3 MB) Fog Detection from Camera Images Experiences at KNMI (Andrea Pagani) Slides PDF (5,8 MB) DEEP-EST EU Project & JSC (Ernir Erlingsson) Slides PDF (9,5 MB) Research Results: To be published shortly Research Results to be published shortly #DeepLearning Practice & Experience: Deep Learning & Fog Detection – Research of PhD student E. Erlingsson @ernire, J. W. Noteboom...

Cloud-Computing-and-Big-Data-Fall-2018 0

Cloud Computing and Big Data – Course Fall 2018

Cloud Computing and Big Data – Course Fall 2018 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2018 Lecture 0 – Prologue Slides PDF (9,59 MB) Starting teaching period with Lecture 0 – Prologue of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland today mentioning also Modular Supercomputing driven by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de pic.twitter.com/52bmhnZNhs — Morris Riedel (@MorrisRiedel)...

Selected Comparisons Machine Learning and Deep Learning 0

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

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

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) ]