1-11 March 2021
Europe/Berlin timezone

The school aims at PhD students and young postdocs, and offers not only a basic introduction to machine learning, but also talks from leading experts in the field on their current research projects. The list of lectures comprises:

  • Introduction to Machine Learning with special focus on Deep Learning
  • Latest developments and new challenges in the field:
    • Network architectures
    • Generative networks
    • Flows
    • Weak classification and anomaly detection
    • Machine learning on FPGA

In addition to the lectures, several hands-on tutorials will be offered.

In order to participate successfully in the school, we expect students to have at least basic knowledge of Python and numPy.