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... > Science Keywords > EARTH SCIENCE SERVICES > MODELS > MACHINE LEARNING MODELS > DEEP LEARNING > RECURRENT NEURAL NETWORKS

Preferred term

RECURRENT NEURAL NETWORKS  

Definition

  • A type of artificial neural network which uses sequential data or time series data. These deep learning algorithms are commonly used for ordinal or temporal problems, such as language translation, natural language processing (nlp), speech recognition, and image captioning. (en)

Broader concept

Change note

  • 2022-07-25 15:49:48.0 [tstevens] Insert Concept add broader relation (RECURRENT NEURAL NETWORKS [c3d5ed2a-04c6-432f-938c-bb06ec887cdc,996701] - DEEP LEARNING [543135bc-7749-49ca-89af-b108cac1afaa,996698]);
  • 2022-07-26 08:20:24.0 [tstevens] insert Definition (id: null text: A type of artificial neural network which uses sequential data or time series data. These deep learning algorithms are commonly used for ordinal or temporal problems, such as language translation, natural language processing (nlp), speech recognition, and image captioning. language code: en);
  • 2022-07-27 12:32:46.0 [tstevens] update Definition (Encyclopedia of Machine Learning and Data Science: https://doi.org/10.1007/978-1-4899-7502-7);

URI

https://gcmd.earthdata.nasa.gov/kms/concept/c3d5ed2a-04c6-432f-938c-bb06ec887cdc

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