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Instructors: Prof. Ph. D. Stefan Roth
Event type:
practical / lab /internship
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Deep Learning in CV
Subject:
Crediting for:
Hours per week:
6
Language of instruction:
German and English
Min. | Max. participants:
- | -
Course Contents:
In this project lab groups of students will work on selected topics in deep learning (deep neural networks) for problems in computer vision. This includes the practical implementation with modern deep learning frameworks. Results will be presented in a talk at the end of the lab. Concrete topics follow the current state of the art and change from term to term.
Preconditions:
* Solid programming skills in C/C++ or Python or Lua
* Prior or concurrent registration for "Computer Vision I"
Expected Number of Participants:
Max. 18
Further Grading Information:
Attendind the first meeting is mandatory.
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