Date: 21 - 24 May 2024

Loading map...

The Active Training Course "Advanced Deep Learning" is hosted over 4 days at (location tba) by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub. The event serves the professional education of young scientists belonging to the ErUM Community.

The intensive course on Graph Neural Networks, Transformers, Normalizing Flows and Autoencoders will be held from 21.05.24 - 24.05.24. The course includes a challenge to be worked out and presented by participant subgroups. The workshop is aimed at deep-learning enthusiasts from all ErUM communities (Research on Universe and Matter) who have prior knowledge of neural networks and applied basic concepts of deep learning.

A fee of 300€ will be charged for participation in the course. The workshop fee includes the cost of the workshop, accommodation and catering. Registration closes tba.

Keywords: Graph Neural Networks, Autoencoder, Model Diffusion, Normalizing Flows

Venue: Bernhäuser Forst

City: Filderstadt

Country: Germany

Postcode: 70794

Organizer: ErUM-Data-Hub (BMBF)

Event types:

  • Workshops and courses


Activity log