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Gated Orthogonal Recurrent Units: On Learning to Forget

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Publication:5154142
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DOI10.1162/neco_a_01174zbMath1476.68232arXiv1706.02761OpenAlexW2626194254WikidataQ91588964 ScholiaQ91588964MaRDI QIDQ5154142

Marin Soljačić, Yi-Chen Shen, Yoshua Bengio, Li Jing, Max Tegmark, John Peurifoy, Çağlar Gülçehre

Publication date: 1 October 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.02761


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)


Related Items

Unnamed Item, A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures, Stock market predictions using FastRNN-based model


Uses Software

  • Penn Treebank
  • RMSprop
  • Adam
  • DARPA TIMIT


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