Course Information
The information on this website is preliminary and will be updated towards the beginning of the semester.
Description
This seminar is designed for master students of Scientific Computing and Mathematics. We will address Machine Learning from a mathematical point of view and discuss its relations to well-known mathematical concepts. This semester we restart our series and focus on different network architectures. We explore different Deep Neural Networks and their relation to Ordinary Differential Equations.
Topics
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Exam / Presentations
For a successful completion of the seminar, students will be asked to give a presentation of about 45 minutes and submit a corresponding write-up. The final grade will be made up of the individual grades of both components.
Dates and Timeline
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(Pre-)registration
The number of participants for this seminar will be limited to 10. Once we open registration in MÜSLI, please register there.
Resources
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