batch optimization
[/bætʃ ˌɑːptɪmaɪˈzeɪʃən/]
nounpl: batch optimizations
otimização em lote
1. A computational process of processing multiple data items together to improve efficiency, speed, or resource utilization in machine learning or data processing
Batch optimization allows the model to update weights more efficiently by processing 32 samples at once instead of one at a time.
A otimização em lote permite que o modelo atualize pesos de forma mais eficiente, processando 32 amostras de uma vez em vez de uma por vez.
2. In manufacturing or logistics, the process of organizing and improving the processing of groups of items to maximize productivity or minimize costs
The factory implemented batch optimization to reduce production time and waste.
A fábrica implementou otimização em lote para reduzir o tempo de produção e desperdício.
3. A method in gradient descent algorithms where the loss function is calculated on multiple samples before updating model parameters
Using batch optimization with a batch size of 64 helped stabilize the training process.
O uso de otimização em lote com tamanho de lote de 64 ajudou a estabilizar o processo de treinamento.
This is primarily a technical term used in software development, machine learning, and manufacturing industries. In Brazil, it is commonly used in tech hubs like São Paulo and among software engineers. The term reflects the globalization of technology terminology, with Portuguese speakers in tech fields typically using the English term or direct translations depending on formality level.
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