EBM‘s 7th Harmonization Workshop: Deep Learning

Impressions from the EBM Harmonization Workshop on Deep Learning (Image: O. Neumann)
Impressions from the EBM Harmonization Workshop on Deep Learning (Image: O. Neumann)

On June 19th, Prof. Katharina Breininger and Frauke Wilm invited members of EBM to an introductory workshop on Deep Learning.

In a lively lecture, Katharina Breininger guided the participants through the common deep learning concepts. The EBM members gained insight into the basic structure of neural networks, the importance of reasonable training data, the „pros and cons“ of artificial intelligence, and much more.

In the second half of the afternoon, Frauke Wilm led the participants through a one-hour hands-on course where everyone had the opportunity to train their own neural network. Photos of EBM members presenting different coffee mugs were used as training data.

Frauke Wilm closed the 7th EBM Harmonization Workshop with a short talk on how AI can be successfully used to analyze medical data, promoting collaborations among projects of EBM.

Lars Bischof, C05