2nd Terascale School of Machine Learning


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 with a focus on Graph networks
    • Generative Models
    • Normalising Flows
    • Weak classification and anomaly detection
    • Machine learning on FPGAs

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.


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The school is supported by the Excellence Cluster Quantum Universe Hamburg.

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