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Seminar in Neural Networks is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits). Seminar in Neural Networks is an optional course in the module "Machine Learning 1 (ML1-X)" and is worth 3 LP (3 ECTS credits).

In the general case, it is not possible to take the Neural Networks seminar as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.
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||'''Presentation Days'''|| Monday-Friday, 19-23 February 2018 from 9am to 7pm in room MAR 4.065 || ||'''Presentation Days'''|| Monday-Wednesday, 19-21 February 2018 from 9am to 7pm in room MAR 4.065 ||
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||'''ISIS'''|| TBA || ||'''ISIS'''|| https://isis.tu-berlin.de/course/view.php?id=11310 ||

Block-Seminar "Neural Networks"

General Information

Seminar in Neural Networks is an optional course in the module "Machine Learning 1 (ML1-X)" and is worth 3 LP (3 ECTS credits).

In the general case, it is not possible to take the Neural Networks seminar as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.

Kickoff Meeting

Monday 27 November 2017 from 9am to 10am in room H 107

Presentation Days

Monday-Wednesday, 19-21 February 2018 from 9am to 7pm in room MAR 4.065

Trainers

Gregoire Montavon

Contact

gregoire.montavon@tu-berlin.de

ISIS

https://isis.tu-berlin.de/course/view.php?id=11310

Description

The neural networks seminar focuses on several aspects of neural networks, including theory, modeling and algorithms. Each student is required to choose a particular topic from a predefined list of topics and to present it at the end of the semester.

IDA Wiki: Main/WS17_SNN (last edited 2017-10-17 13:05:40 by GrégoireMontavon)