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===Topics:===

The scheduled topics are:

 * Neural networks
 * Error backpropagation
 * Optimizing neural networks
 * Regularizing neural networks
 * Neural networks for classification/regression/etc.
 * Convolutional neural networks
 * Autoencoders
 * Recurrent neural networks
 * Explainable AI

Deep Learning 1

General Information

  • Deep Learning 1 is a 6 LP (6 ECTS) credits module.

Lectures period

17.10.2022-18.02.2023

Lecture

Mondays, 08:15 - 10:00 in MA 004

Exercises

Thursdays, 08:15 - 10:00 in H 2013

Trainers

Grégoire Montavon

Kristof Schütt

Contact

gregoire.montavon@tu-berlin.de

ISIS

TBD

Language

English

===Topics:===

The scheduled topics are:

  • Neural networks
  • Error backpropagation
  • Optimizing neural networks
  • Regularizing neural networks
  • Neural networks for classification/regression/etc.
  • Convolutional neural networks
  • Autoencoders
  • Recurrent neural networks
  • Explainable AI

IDA Wiki: Main/WS22_DL1 (last edited 2022-10-15 14:59:21 by GrégoireMontavon)