Parallel Machine Learning and Deep Learning Driven by HPC Morris Riedel 0

Parallel Machine Learning and Deep Learning Driven by HPC

Parallel Machine Learning and Deep Learning Driven by HPC Invited Talk 4th International Summer School for Big Data and Machine Learning Organized by Competence Center for Scalable Data Services and Solutions (SCADS) and Berlin Big Data Center (BBBC) University of Leipzig, Germany 2018-07-03 [ Event ] [ Slides ~18.8 MB (pdf) ]

ISC2018 Tutorial on Machine Learning and Data Analytics Morris Riedel 0

ISC2018 Tutorial on Machine Learning and Data Analytics

ISC2018 Tutorial on Machine Learning and Data Analytics Invited Tutorial Science, Technology, Engineering, and Mathematics (STEM) Student Day & Gala International Supercomputing Conference (ISC), Frankfurt, Germany 2018-06-27 [ Event ] [ ISC 2018 Tutorial on Machine Learning and Data Analytics – Slides ~15.4 MB (pdf) ]

2018-06-06-Introduction-To-Deep-Learning-Tutorial-Content 0

DEEP-EST Tutorial: Introduction to Deep Learning

DEEP-EST Tutorial: Introduction to Deep Learning Tutorial under the umbrella of the DEEP-EST EU Project Juelich Supercomputing Centre, Germany 2018-06-06 – 2018-06-07 [ Event ] Materials [ Lecture 1 – Introduction to Deep Learning – Slides ~3.29 MB (pdf) ] [ Lecture 2 – Fundamentals of Convolutional Neural Networks (CNNs) – Slides ~3.81 MB (pdf) ] [ Lecture 3 – Deep Learning in Remote Sensing: Challenges – Slides ~8.11 MB (pdf) ] [ Lecture 4 – Deep Learning in Remote Sensing: Applications – Slides ~1.98 MB (pdf) ] [ Lecture 5 – Model Selection and Regularization – Slides ~1.78 MB...

Deep Learning with Python 0

Deep Learning with Python

Deep Learning with Python Invited Talk Joint Laboratory for Extreme-Scale Computing (JLESC) 8th Workshop Barcelona Supercomputing Centre, Barcelona, Spain 2018-04-19 [ Event ] [ Slides ~6.53 MB (pdf) ]

Morris Riedel Research 0

Research – Overview

Research Areas Research of the high productivity data processing research group at Forschungszentrum Juelich – Juelich Supercomputing Centre and University of Iceland focuses on application-driven parallel and scalable machine learning methods including related areas such as feature engineering, statistical data mining, and innovative deep learning techniques. In our projects we are cooperating with academic research groups worldside as well as with selected industry companies including the support of start-ups. Additional funding sources are the European Union or the German Federal Ministry of Education and Research. If you are interested in one of these research topics please contact me by email...