Concept information
Término preferido
recurrent neural network
Definición
- A neural network that is intentionally run multiple times, where parts of each run feed into the next run. Specifically, hidden layers from the previous run provide part of the input to the same hidden layer in the next run. Recurrent neural networks are particularly useful for evaluating sequences, so that the hidden layers can learn from previous runs of the neural network on earlier parts of the sequence. (Google for Developers, Machine Learning Glossary)
Concepto genérico
Conceptos específicos
Etiquetas alternativas
- RNN
En otras lenguas
-
francés
-
réseau de neurones récurrent
-
réseau neuronal récurrent
-
RNN
URI
http://data.loterre.fr/ark:/67375/8LP-PL8WWPCP-5
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