Deep Learning despite sparse data : vimarsana.com

Deep Learning despite sparse data

The German Research Foundation (DFG) is funding the new research group "Deep Learning on sparse chemical process data" for four years with around 3.5 million euros. It is coordinated at the Techni .

Related Keywords

Germany, California, United States, Louisiana, Munich, Bayern, Straubing, Irvine, German, Michael Bortz, Wernerr Thiel, Marius Kloft, Daniel Neider, Clemens Hoch, Stephan Mandt, Sophie Fellenz, Jakob Burger, Heike Leitte, Hans Hasse, Fabian Jirasek, Technical University Of Kaiserslautern, Mercator, University Of California, Intelligent Systems Department, University Of Oldenburg, Carl Zeiss Foundation, Technical University Of Munich, German Research Foundation, Fraunhofer Institute For Industrial Mathematics, University Of California At Irvine, Technical University, Deep Learning, Intelligent Systems, Machine Learning, Mercator Fellowship, Assistant Professor, Vice President, Carl Zeiss, Rhineland Palatinate Minister, Professor Kloft, Fraunhofer Institute, Industrial Mathematics, Artificial Intelligence, Process Engineering,