On June 30th 2022 at 17:00 in the FMI Conference Hall meeting of the FMI Colloquium will be held.
Prof. Gergana Petrova from Texas A&M University, USA, is going to give a presentation on topic:
Neural Network Approximation
Abstract:
We will discuss the known approximation properties of the outputs of Neural Networks and the range of functions that can be approximated with sometimes surprising accuracy by these outputs. We will compare the Neural- Network approximation with traditional approximation methods from the viewpoint of rate distortion and will touch upon the stability of this approximation.
Prior to the lecture, colloquium participants are invited at 15:30 in the FMI Conference Hall for an informal discussion over coffee/tea.
You are welcome!