- Series
- Applied and Computational Mathematics Seminar
- Time
- Monday, November 18, 2024 - 2:00pm for 1 hour (actually 50 minutes)
- Location
- Skiles 005 and https://gatech.zoom.us/j/94954654170
- Speaker
- Hongkai Zhao – Duke University – zhao@math.duke.edu – https://scholars.duke.edu/person/Hongkai.Zhao
- Organizer
- Wei Zhu
In this talk I will present both mathematical and numerical analysis as well as experiments to study a few basic computational issues in using neural network to approximate functions: (1) the stability and accuracy, (2) the learning dynamics and computation cost, and (3) structured and balanced approximation. These issues are investigated for both approximation and optimization in asymptotic and non-asymptotic regimes.