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 * DNN for images
 * DNN for time series
 * DNNs for images
 * DNNs for time series

Deep Neural Networks

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

In the general case, it is not possible to take the Deep Neural Networks course 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.

General Information (preliminary)

Lecture period

from 09 May 2018 to 27 Jun 2018

Lecture

Wednesdays 08:15-10:00 in room H 2032

Language

English

Trainer

Grégoire Montavon

Contact

gregoire.montavon@tu-berlin.de

ISIS

TBA

Frequently Asked Questions (FAQ)

  • When does the course start? On Wednesday 9 May 2018
  • How to register for the course? Pre-registration is not needed.

Main Topics

  • DNN basics
  • Model complexity and model selection
  • Optimization of DNNs
  • DNNs for images
  • DNNs for time series
  • Explaining DNN decisions
  • DNNs beyond classification

IDA Wiki: Main/SS18_DNN (last edited 2018-04-16 11:57:13 by GrégoireMontavon)