The self-enrollment keys will be shown during the first lecture on 15:15 - 05.04.2024 at Schwannseestraße 143, R 2.16.
This advanced course explores the principles, techniques, and applications of deep learning in computer vision. Students will learn to design, train and validate neural networks for image classification, object detection, semantic segmentation and other computer vision tasks. They will also study advanced techniques for improving deep learning model performance and visualizations to provide guidance for further model development. By the end of the course, students will be equipped to apply deep learning techniques to solve real-world problems in various domains.
Veranstaltungsnummer: 423150021
- Trainer/in: Christian Benz
- Trainer/in: Jan Frederick Eick
- Trainer/in: Anton Frolov
- Trainer/in: Volker Rodehorst
- Trainer/in: David Eike Tschirschwitz
