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| === Termine und Informationen === | === General Information === |
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| ||'''Erster Termin für Themenvergabe'''|| Freitag, 1.11.2013, 10:00 || ||'''Verantwortlich'''|| [[http://ml.cs.tu-berlin.de/en/klaus/index.html|Prof. Dr. Klaus-Robert Müller]] || ||'''Dozent:''' || Grégoire Montavon (gregoire.montavon@tu-berlin.de, Raum MAR 4.030) || ||'''Sprache'''|| Englisch || |
Seminar in Neural Networks is an optional course in the module "Maschinelles Lernen 1" and is worth 3 LP (3 ECTS credits). ||'''Erster Termin für Themenvergabe'''|| Friday, 1.11.2013, 10:00 || ||'''Room'''|| MAR 4.033 || ||<(^|2>'''Trainers'''||Prof. Dr. Klaus-Robert Müller (Responsible)|| ||Gregoire Montavon || ||'''Contact''' || gregoire.montavon@tu-berlin.de || ||'''ISIS'''||https://www.isis.tu-berlin.de/2.0/course/view.php?id=559|| |
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| The neural networks block seminar focuses on several practical aspects of neural networks, including modeling, algorithms and implementation. Several papers and book chapters will be proposed for presentation. | The neural networks seminar focuses on several aspects of neural networks, including theory, modeling and algorithms. The seminar focuses on directed networks trained via backpropagation and leaves aside other tyoes of networks such as Boltzmann machines, self-organizing maps, etc. Each student is requested to pick a particular book chapter (or sections) from the list (available on ISIS), and present it at the end of the semester. |
Block-Seminar "Neural Networks"
General Information
Seminar in Neural Networks is an optional course in the module "Maschinelles Lernen 1" and is worth 3 LP (3 ECTS credits).
Erster Termin für Themenvergabe |
Friday, 1.11.2013, 10:00 |
Room |
MAR 4.033 |
Trainers |
Prof. Dr. Klaus-Robert Müller (Responsible) |
Gregoire Montavon |
|
Contact |
|
ISIS |
Description
The neural networks seminar focuses on several aspects of neural networks, including theory, modeling and algorithms. The seminar focuses on directed networks trained via backpropagation and leaves aside other tyoes of networks such as Boltzmann machines, self-organizing maps, etc. Each student is requested to pick a particular book chapter (or sections) from the list (available on ISIS), and present it at the end of the semester.