Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is […]
optimization
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Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course provides a practical introduction to some of the most commonly used discretization methods for PDEs (finite differences and finite elements) and their implementation in MATLAB. It also covers some of the basics of […]
This year, our Head Prof. Enrique Zuazua (Friedich-Alexander-Universität, Erlangen-Nürnberg) joint with Prof. Xiaoming Yuan (University of Hong Kong) will be talking (M20 – Hong Kong module) about “Machine Learning, Optimization and Control” on June 27th. – July 1st., 2022 at the IEECI-IGSC 2022: International Graduate School on Control 2022 organized […]
Deep Learning and Paradigms By Sergi Andreu // This post is the 2nd. part of the “Opening the black box of Deep Learning” post Deep Learning Now that we have some intuition about the data, it’s time to focus on how to approximate the functions that would fit that data. […]