Seminar Advanced Deep Learning
The first session of the semester will an online meeting, subsequent meetings will be in person.
- Di 12:00-14:00, Raum Seminarraum ZMPT (außer vac) ICS
Voraussetzungen / Organisatorisches
Deep Learning-based algorithms showed great performance in many fields of image processing and pattern recognition and compete with technologies such as compressive sensing and iterative optimization. The basis for the success of these algorithms is the availability of large amounts of data (big data) for training and of high computing power (typically GPUs). In this seminar we try to explore advanced deep learning methods. In particular, we will aim to develop a deeper understanding of certain topics, for example: graph neural networks, unsupervised learning, differentiable learning, invertible learning, neural ordinary differential equations, transfer learning, multi-task learning, uncertainty DL, etc.
Schlagwörter: algorithms; medical image processing
Erwartete Teilnehmerzahl: 10