This is the fifth Deep Learning Train-the-Trainer Workshop organized by the ErUM-Data-Hub with the support of DIG-UM.
Aim of this workshop is to educate lecturers for future teaching activities and to provide material to give lecture series on deep learning, including hands-on-exercises. Covered topics will be Neural Network Building Blocks & Mastering Model Building, Convolutional Neural Networks & Graph Convolutions and Generative Models.
This workshop is addressed to scientists from all ErUM communities with prior knowledge of neural networks.
A fee of 50€ will be charged for participation in the workshop.
Neural Network Building Blocks & Mastering Model Building (Kevin Schmidt, TU Dortmund)
Convolutional Neural Networks (Stephanie Käs, AI Center - RWTH Aachen University)
Generative Models (Jan Kieseler, KIT)
Appetizer Talks:
ErUM-Data KISS Projekt (Frank Siegert - TU Dresden)
Teilchenphysik Lab-Course (Max Stange - TU Dresden)
Introspection (Mathis Frahm)
Transfomer (Lars Sowa)
Discussion:
How to teach Deep Learning (Alexander Britz)
Fee:
A fee of 50€ will be charged
You will receive coffee throughout the days, are invited to the workshop dinner on 25.3. and will recieve a lunch voucher for the "Alte Mensa" on 26.3.
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