Optimization in Machine Learning
This lecture (6 ECTS) will cover optimization methods that typically appear in machine learning. Most importantly, we will discuss different (stochastic) versions of gradient descent methods and their applications in machine learning.
Team
Felix Benning, Prof. Dr. Simon Weißmann
Weekly schedule
Lectures:
Tuesday, B4, D 007 Seminarraum 2 (B 6, 27–29 Bauteil D)
Thursday, B3, D 007 Seminarraum 2 (B 6, 27–29 Bauteil D)
Exercise Classes:
every second Thursday (starting on 2 March 2023)
Exercises
Sheet 1 (correction in Exercise 1 (i))
Sheet 4 (Update 31.03.: GitHub classroom link)
Lecture notes
Lecture Notes (work in progress in parallel to this course, latest update: 01.06.2023)