| Display title | Gated recurrent unit |
| Default sort key | Gated recurrent unit |
| Page length (in bytes) | 8,695 |
| Namespace ID | 0 |
| Page ID | 214360 |
| Page content language | en - English |
| Page content model | wikitext |
| Indexing by robots | Allowed |
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| Counted as a content page | Yes |
| Page image |  |
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| Page creator | imported>Steve2012 |
| Date of page creation | 15:00, 6 February 2024 |
| Latest editor | imported>Steve2012 |
| Date of latest edit | 15:00, 6 February 2024 |
| Total number of edits | 1 |
| Recent number of edits (within past 90 days) | 0 |
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Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features, but lacks a context vector or output gate, resulting in fewer parameters... |
