Noisy Recurrent Neural Networks

The dataset is a class of noisy recurrent neural networks with w (unbounded) weights for classification of sequences of length T, where independent noise distributed according to N (0, σ2) is added to the output of each neuron in the network.

Data and Resources

Cite this as

Alireza Fathollah Pour, Hassan Ashtiani (2025). Dataset: Noisy Recurrent Neural Networks. https://doi.org/10.57702/lp5mu5hq

DOI retrieved: January 2, 2025

Additional Info

Field Value
Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2102.04877
Citation
  • https://doi.org/10.48550/arXiv.2305.18423
Author Alireza Fathollah Pour
More Authors
Hassan Ashtiani
Homepage https://arxiv.org/abs/2106.09541