Math Primer and Neural Network Basics, LMU 2019-
I give this guest lecture as part of “Deep Learning and AI” since winter semester 2019, at LMU Munich for master students in computer science and similar majors.
The topics include
- Recapping a few topics in probability theory that are most relevant for DL: MLE and MAE.
- Recapping optimization methods, gradien-free, first- and second-gradient methods.
- An introduction to automatic differentiation.
- An over-simplified intro to the challenges and solutions in the course of NN’s history.
Dr. Yinchong Yang
Senior Key Expert of Robust Artificial Intelligence
My research interests include trustworthy AI and tensor decomposition in machine learning.