Assessment
ImplementierungGroup projectPresentationKolloquium
The final grade consists of: 20% implementation of the practical tasks (e.g., in Python, preparation of training data, fine-tuning existing deep-learning models), 60% practical group project (project planning, data preparation, training, implementation of the web application, 5-minute presentation of the project plan) and 20% final presentation (10-minute presentation including demo plus 5-minute colloquium).