Understanding Neural Networks with Information Theory

  • Bernhard Geiger (Redner/in)

Aktivität: Vortrag oder PräsentationVortrag bei Workshop, Seminar oder KursScience to science


Neural networks are among the most powerful the least understood machine learning architectures. Recently, information theory has been used to open these proverbial "black boxes". This talk starts with a brief, superficial introduction to neural networks before giving an overview of recent information-theoretic approaches to understand and characterize neural networks. Finally, we will investigate how the importance of individual neurons can be quantified with information quantities.
Zeitraum21 Okt. 2020
EreignistitelLunchtime Lecture