provides matrix calculus for everyone. It is an online tool that computes vector and matrix derivatives (matrix calculus). Such derivatives can be plugged into numerical optimization algorithms like gradient descent or Newton's method. is part of the larger for automatically generating customized solvers for optimization problems. In this talk we will demonstrate both tools using the classroom example of logistic regression from the domain of machine learning.
Prof. Dr. Joachim Giesen, Uni Jena
Fr. 15.12.2017, 13:00 c.t., G29-335
Recent news:

Research Seminar Announcement

The Visual Computing research seminar with Prof. Dr. Jörn Kohlhammer from Fraunhofer IGD and TU Darmstadt on Friday, 19.01. had to be cancelled due to the storm. The talk will be moved to the summer term instead.

To the overview…