Notice: Due to planned maintenance, the website will be unavailable from 3:00 PM to 10:00 PM on Wednesday, February 11, 2026
We apologise in advance for any inconvenience that may be caused and thank you for your understanding.
To content
Fakultät für Informatik

Deep Learning

Contents:

  • Linear models for image classifications
  • Regularization methods (Dropout, Batch-Norm, )
  • (Stochastic) optimization methods (SGD, Momentum, AdaGrad, Adam)
  • Backpropagation
  • Convolutional neural networks
  • Recurrent neural networks
  • Generative models