Introduction to Deep Learning Models Morris Riedel 0

Introduction to Deep Learning Models

Introduction to Deep Learning Models Training Course organized by DEEP-EST Project Juelich Supercomputing Centre, Germany 2019-05-21 – 2019-05-23 [ EVENT ] [Morris Riedel] Lecture 1 – Deep Learning driven by HPC & Jupyter (pdf, ~10,7 MB) [Jenia Jitsev] Lecture 2 – Overview of Deep Learning (pdf, ~33,0 MB) [Morris Riedel] Lecture 3 – Neural Network (pdf, ~14,3 MB) [Morris Riedel] Lecture 4 – Convolutional Neural Network (pdf, ~9,83 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Deep Learning for Remote Sensing & 1D/2D CNNs for Hyperspectral Images Classification (pdf, ~3,86 MB) [Gabriele Cavallaro] Lecture 6 – 3D CNNs for Hyperspectral...

Morris Riedel Media 0

Media – Overview

2021 Talk at IPDPS HCW 2021: Practice and Experience in Using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures Morris Riedel Heterogenity in Computing Workshop (HCW) held in conjunction of the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS) Portland, Virtual Conference, 2021-05-17 – 2020-05-21 [ EVENT ] [ Slides ~21.3 MB (pdf) ] Practice and Experience in Using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures 2020 Chairing Euro-Par 2020 Best Paper Session Morris Riedel Topic Chair Data Management, Analytics and Deep Learning 26th Euro-Par Conference, August 24-28, 2020, Warsaw, Poland [ Event ]...