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In neural networks, the gating mechanism is an architectural motif for controlling the flow of activation and gradient signals. They are most prominently used in recurrent neural networks (RNNs), but have also found applications in other architectures.
Measurement, Gated Linear Unit & RNNs
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lstm gating neural displaystyle sigma networks unit activation gate odot recurrent gated rnns also architectures memory gates begin aligned end
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Gating mechanism | is a | architectural motif for controlling the flow of activation and gradient signals | 0.90 | text |
| Gating mechanism | related to Gated Linear Unit | Gated Linear Units | 0.60 | section |
| Gating mechanism | related to Gated Linear Unit | GLUs | 0.60 | section |
| Gating mechanism | related to Gated Linear Unit | They | 0.60 | section |
| Gating mechanism | related to Gated Linear Unit | GLU | 0.60 | section |
| Gating mechanism | related to Other architectures | Gating | 0.60 | section |
| Gating mechanism | related to Other architectures | LSTM | 0.60 | section |
| Gating mechanism | related to Other architectures | Channel | 0.60 | section |
| Gating mechanism | related to Other architectures | CNN | 0.60 | section |
| Gating mechanism | related to RNNs | Gating | 0.60 | section |
| Gating mechanism | related to RNNs | LSTM | 0.60 | section |
| Gating mechanism | related to RNNs | They | 0.60 | section |
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