Details zur Lehrveranstaltung
| Seminar on Theoretical Physics: Statistical Physics of Computation and Artificial Neural Networks | |
| Modul: | Phy-Ma-Hsem: Hauptseminar |
| Vorlesungssprache | Englisch |
| Inhalt der Lehrveranstaltung: | Statistical Physics and Nonlinear Dynamics have substantially contributed to understanding the basics of artificial neural network modeling and analysis. In this seminar, we will learn the basics of such approaches. Contents include some foundations of computation and historical remarks, basics of information theory, binary state neurons and simple and multi-layered perceptrons, the Hopfield model of associative memory, reservoir computing, heteroclinic computing, basic notions of machine learning, signal compression, and a number of example applications as they are currently employed in industry and elsewhere. |
| Datensatz aktualisiert | |
| Umfang: | Hauptseminar: 2 Stunden/Woche |
| Zeit/Ort: | MI(3) BAR/I86C/U |
| Hörerkreis: | Master Hauptseminare |
| Vorkenntnisse: | Theoretische Physik auf dem Bachelor-Niveau | Nachweis: | Vortrag (moeglichst in englischer Sprache) |
| Einschreibung: | OPAL: https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/23201546251 |
| Web-Referenz: | https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/23201546251 |
| COURSE IS CANCELLED for summer 2020 because current ONLINE OPTIONS are NOT RELIABLE. We plan to run it in winter 2020/2021 if possible. The course is not suitable as a replacement for a machine learning or neural networks course given in Computer Science, it rather complements it by emphasizing the perspective of Dynamical Systems' Theory and highlighting alternative ways of processing information. | |