Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
recurrent neural network |
| gptkbp:advantage |
access to past and future context
|
| gptkbp:hasComponent |
backward RNN
forward RNN |
| https://www.w3.org/2000/01/rdf-schema#label |
bidirectional RNN
|
| gptkbp:input |
sequential data
|
| gptkbp:introduced |
gptkb:Mike_Schuster
|
| gptkbp:introducedIn |
1997
|
| gptkbp:limitation |
computationally expensive
|
| gptkbp:output |
sequential data
|
| gptkbp:relatedTo |
gptkb:GRU
gptkb:LSTM unidirectional RNN |
| gptkbp:usedIn |
natural language processing
speech recognition sequence modeling |
| gptkbp:bfsParent |
gptkb:recurrent_neural_network
|
| gptkbp:bfsLayer |
6
|