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Deep Neural Networks

Deep Neural Networks is an optional course in the module "Machine Learning 2-X" 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

Lecture period

17.04.2019 - 12.06.2019

Lecture

Wednesdays from 4pm to 6pm in A 053

Language

English

Trainer

Grégoire Montavon

Contact

gregoire.montavon@tu-berlin.de

ISIS

https://isis.tu-berlin.de/course/view.php?id=16412

Frequently Asked Questions (FAQ)

  • When does the course start? TBA
  • 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/SS19_DNN (last edited 2019-04-17 17:46:05 by GrégoireMontavon)