Numerical Analysis of Neural Networks (Summer Semester 2024)
- Lecturer: JProf. Dr. Roland Maier
- Classes: Lecture (0166100), Problem class (0166110)
- Weekly hours: 3+1
The goal of the lecture is to provide a mathematical foundation of neural networks from the perspective of numerical analysis. Besides basic definitions and terminology, approximation properties are presented and connections to finite element methods are drawn. Further, numerical methods regarding the efficient training of neural networks are discussed and analyzed. The lecture also covers popular applications in the context of PDEs such as physics-informed neural networks.
Students who would like to attend the lecture are expected to have a solid background in numerical mathematics. Basic knowledge on functional analysis and finite element methods is also helpful, but not required.
| Schedule | ||
|---|---|---|
| Lecture: | Tuesday 14:00-15:30 | 20.30 SR 2.067 |
| Problem class: | Wednesday 9:45-11:15 | 20.30 SR -1.012 |
| Lecturers | ||
|---|---|---|
| Lecturer | JProf. Dr. Roland Maier | |
| Office hours: by appointment | ||
| Room 3.009 Kollegiengebäude Mathematik (20.30) | ||
| Email: roland.maier@kit.edu | Problem classes | Dipl.-Math. Felix Krumbiegel |
| Office hours: by appointment | ||
| Room 3.005 Kollegiengebäude Mathematik (20.30) | ||
| Email: felix.krumbiegel@kit.edu | ||