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Vocabulary of natural language processing

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Concept information

NLP methods and tools > model training > mini-batches

Preferred term

mini-batches  

Broader concept

Example

  • The mini-batch size is set to 32 and the parameters of the model are updated every 4 mini-batches. (Zhen, Wang, Fu, Lv & Zhang, 2021)
  • We test the model on development data every 1000 mini-batches. (Zou, Li, Liu & Deng, 2018)

In other languages

URI

http://data.loterre.fr/ark:/67375/8LP-QSR2G149-R

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