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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.

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Cite this as

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

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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