max pooling

[/mæks ˈpuːlɪŋ/]
noun
agrupamento máximo
1. A pooling operation in convolutional neural networks that selects the maximum value from a set of input values within a defined window or filter
Max pooling reduces the spatial dimensions of feature maps while preserving the most important features in the network.
O agrupamento máximo reduz as dimensões espaciais dos mapas de características mantendo as features mais importantes da rede.
2. A downsampling technique commonly used in deep learning to decrease computational complexity and prevent overfitting
The convolutional layer was followed by a max pooling layer to extract dominant features.
A camada convolucional foi seguida por uma camada de agrupamento máximo para extrair features dominantes.
Max pooling is a technical term from machine learning and computer science with standardized usage across both English and Portuguese-speaking tech communities. In Brazil and Portugal, it is commonly used untranslated in academic and professional settings, though 'agrupamento máximo' is the formal Portuguese equivalent. The term is integral to discussions about convolutional neural networks and deep learning applications in both countries.
Synonyms / Sinônimos
maximum poolingmax poolmaximum pool operation
Antonyms / Antônimos
average poolingmean poolingmin pooling

Regional Variations

General Brazilian Portuguese
agrupamento máximo
Standard technical term used in computer science and machine learning contexts
Portugal
agrupamento máximo
Same terminology used, though sometimes 'pooling máximo' is also used without translation
International Tech Communities
max pooling
Often kept in English even in Portuguese technical documentation due to standardization in AI/ML literature

Related Words

convolutional neural networkpooling layerdownsamplingfeature extractiondeep learningstridefilter
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