03.05.2021 - 07.05.2021

Monday, 09:00 bis Friday, 13:15


Introduction to Scalable Deep Learning

Michael Schmitz für Helmholtz/HIDA

This course is dedicated to machine learning and deep learning. It also elaborates on how to achieve scaling to high performance computing systems. The course aims at covering all levels, from fundamental software design to specific compute environments and toolkits. Participants will be enabled to unlock the resource of machines like the JUWELS Booster for their machine learning workflows. Participants are expected to have prior knowledge of machine learning from a university-level introductory course.

For more information on the process and prerequisites, as well as suggested options for self-study in this area, please visit the website.

Please register via the registration form by the 18th of April 2021.