Gated Recurrent Unit
E2018048
UNEXPLORED
Gated Recurrent Unit is a type of recurrent neural network architecture designed to efficiently capture temporal dependencies in sequential data using gating mechanisms to control information flow.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Gated Recurrent Unit canonical | 3 |
| Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling | 1 |
| gated recurrent unit | 1 |
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Gated Recurrent Unit
Kyunghyun Cho
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
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linked to: Gated Recurrent Unit