Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:abbreviation |
gptkb:RNN
|
| gptkbp:developedBy |
1980s
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning deep learning |
| gptkbp:hasApplication |
robotics
weather prediction financial forecasting autonomous driving handwriting recognition question answering sentiment analysis anomaly detection part-of-speech tagging DNA sequence analysis music generation video analysis named entity recognition image captioning stock market prediction |
| gptkbp:hasComponent |
hidden state
input layer output layer recurrent connections |
| gptkbp:hasVariant |
gptkb:Bidirectional_RNN
gptkb:Echo_State_Network Gated Recurrent Unit Long Short-Term Memory |
| https://www.w3.org/2000/01/rdf-schema#label |
Recurrent Neural Network
|
| gptkbp:input |
sequential data
|
| gptkbp:inventedBy |
gptkb:Geoffrey_Hinton
gptkb:John_Hopfield gptkb:David_Rumelhart gptkb:Ronald_J._Williams |
| gptkbp:limitation |
exploding gradient problem
vanishing gradient problem |
| gptkbp:output |
sequential data
single value |
| gptkbp:relatedTo |
gptkb:convolutional_neural_network
Feedforward Neural Network |
| gptkbp:trainer |
gptkb:backpropagation_through_time
|
| gptkbp:usedFor |
machine translation
speech recognition time series prediction text generation sequence modeling language modeling |
| gptkbp:bfsParent |
gptkb:convolutional_neural_network
|
| gptkbp:bfsLayer |
5
|