This lecture (6 ECTS) will cover optimization methods that typically appear in machine learning. Most importantly, we will discuss different (stochastic) versions of the gradient descent method and their applications in machine learning.
Felix Benning, Prof. Dr. Simon Weißmann
Lectures:
Tuesday, B2, C 013 Hörsaal (A5, 6 Bauteil C)
Thursday, B3, C 013 Hörsaal (A5, 6 Bauteil C)
Exercise Classes:
Thursday, B3, C 013 Hörsaal (A5, 6 Bauteil C) – first class on 19 September 2024
Voluntary Tutorial:
every second Thursday, B5, location tba – starting on 19 September 2024
Lecture Notes (will be updated during the semester; latest update: 09.09.2024)