References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilya Kulikov, Ralf Schlüter, Hermann Ney: RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks (2016) arXiv
  2. Schmidhuber, Jürgen: Deep learning in neural networks: an overview (2015) ioport
  3. Weninger, Felix: Introducing CURRENNT: the Munich open-source CUDA recurrent neural network toolkit (2015)
  4. Graves, Alex: Supervised sequence labelling with recurrent neural networks. (2012)
  5. Antonelo, E. A.; Schrauwen, B.; Stroobandt, D.: Event detection and localization for small mobile robots using reservoir computing (2008) ioport
  6. Antonelo, Eric. A.; Schrauwen, Benjamin; Van Campenhout, Jan: Generative modeling of autonomous robots and their environments using reservoir computing (2007) ioport