convolutional network
[kən-ˈvō-lə-ˈshnəl ˈnet-ˌwərk]
nounpl: convolutional networks
rede neural convolucionada
1. A deep learning architecture composed of layers that apply convolution operations to input data, particularly effective for processing grid-like data such as images
The convolutional network successfully identified cats and dogs in the image dataset with 99% accuracy.
A rede neural convolucionada identificou com sucesso gatos e cães no conjunto de dados de imagens com 99% de precisão.
2. A neural network model that uses convolutional layers to automatically learn spatial hierarchies of features from raw input
Modern computer vision applications rely heavily on convolutional networks for object detection and image classification.
As aplicações modernas de visão computacional dependem muito de redes neurais convolucionadas para detecção de objetos e classificação de imagens.
Convolutional networks are fundamental to modern artificial intelligence and are commonly referred to by the acronym CNN in both English and Portuguese-speaking tech communities. In Brazil, while the full Portuguese translation 'rede neural convolucionada' is used in academic writing, tech professionals frequently use the English acronym CNN or the abbreviated English term 'ConvNet' in casual conversation and documentation.
Related Idioms & Phrases
training a convolutional network
tuning convolutional network parameters
stacking convolutional layers
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