shuffled batching
[ˈʃʌfəld ˈbætʃɪŋ]
noun
agrupamento embaralhado
1. A machine learning technique where training data is randomly mixed or reordered before being divided into batches for model training
Shuffled batching improves model generalization by preventing the neural network from learning patterns based on data order.
O agrupamento embaralhado melhora a generalização do modelo ao impedir que a rede neural aprenda padrões baseados na ordem dos dados.
2. The process of randomizing the sequence of data samples before organizing them into groups for computational processing
The algorithm uses shuffled batching to ensure each epoch presents data in a different order.
O algoritmo utiliza agrupamento embaralhado para garantir que cada época apresente os dados em uma ordem diferente.
This is a specialized term primarily used in machine learning, artificial intelligence, and data science communities. Both in Brazil and the USA, technical professionals often use the English term 'shuffled batching' even in Portuguese-language discussions, though the Portuguese translation 'agrupamento embaralhado' is becoming increasingly standardized in formal documentation and academic publications.
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