GU
E837015
GU is an alternative name or abbreviation for the Gated Recurrent Unit, a type of recurrent neural network architecture used in deep learning for sequence modeling tasks.
Observed surface forms (1)
| Surface form | Occurrences |
|---|---|
| Gated Recurrent Unit | 0 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
gated recurrent unit
ⓘ
recurrent neural network architecture ⓘ |
| abbreviationOf | Gated Recurrent Unit NERFINISHED ⓘ |
| appliedIn |
attention-based models
ⓘ
deep learning ⓘ encoder-decoder architectures ⓘ sequence-to-sequence models ⓘ |
| belongsTo | recurrent neural networks ⓘ |
| comparedTo | Long Short-Term Memory NERFINISHED ⓘ |
| designedTo | mitigate vanishing gradient problem ⓘ |
| fullName | Gated Recurrent Unit NERFINISHED ⓘ |
| hasComponent |
candidate activation
ⓘ
reset gate ⓘ update gate ⓘ |
| hasInput |
current input vector
ⓘ
previous hidden state ⓘ |
| hasOutput | new hidden state ⓘ |
| hasProperty |
can be stacked in multiple layers
ⓘ
can be used in bidirectional RNNs ⓘ can process variable-length sequences ⓘ fewer parameters than LSTM ⓘ gating mechanism ⓘ hidden state ⓘ parameter efficiency ⓘ |
| implementedIn |
JAX
NERFINISHED
ⓘ
Keras NERFINISHED ⓘ MXNet NERFINISHED ⓘ PyTorch NERFINISHED ⓘ TensorFlow NERFINISHED ⓘ |
| subClassOf | recurrent neural network ⓘ |
| supports | backpropagation through time ⓘ |
| typicalActivationFunction |
sigmoid
GENERATED
ⓘ
tanh GENERATED ⓘ |
| usedFor |
language modeling
ⓘ
machine translation ⓘ natural language processing ⓘ sequence modeling ⓘ speech recognition ⓘ time series modeling ⓘ video sequence analysis ⓘ |
| usedIn |
context-aware recommendation systems
ⓘ
dialogue systems ⓘ financial time series forecasting ⓘ handwriting recognition ⓘ music generation ⓘ online sequence prediction ⓘ sensor data analysis ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.