agrupamento máximo
1. A machine learning operation that reduces the dimensionality of feature maps by selecting the maximum value from a set of values within a defined window or kernel.
The convolutional neural network uses max pooling to downsample the feature maps after each convolutional layer.
A rede neural convolucional usa agrupamento máximo para reduzir a amostragem dos mapas de características após cada camada convolucional.
2. A technique in deep learning that helps reduce computational complexity and prevent overfitting by retaining the most prominent features.
Max pooling is commonly applied in image recognition tasks to extract the most important features.
O agrupamento máximo é comumente aplicado em tarefas de reconhecimento de imagem para extrair as características mais importantes.
This is a specialized technical term used primarily in artificial intelligence, machine learning, and computer vision fields. It is rarely translated in practice and is commonly used in its English form even in Portuguese-speaking technical communities, similar to other programming and AI terminology.
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