deep convolutional network
[/diːp kənˈvɒljuːʃənəl ˈnɛtwɜːrk/]
nounpl: deep convolutional networks
rede neural convolucional profunda
1. A type of artificial neural network composed of multiple layers of convolutional filters and pooling operations, designed to automatically learn hierarchical representations of data, particularly effective for image and video processing tasks
The deep convolutional network achieved state-of-the-art accuracy in image classification tasks.
A rede neural convolucional profunda alcançou precisão de ponta em tarefas de classificação de imagens.
2. An architecture in machine learning that uses mathematical convolution operations to extract features from input data at multiple levels of abstraction
Deep convolutional networks have revolutionized computer vision by enabling machines to recognize objects with human-level performance.
As redes neurais convolucionais profundas revolucionaram a visão computacional, permitindo máquinas reconhecerem objetos com desempenho de nível humano.
This is specialized technical terminology used in artificial intelligence and computer science fields. The term is predominantly used in English even in Portuguese-speaking countries due to the dominance of English in technology and AI research. In Brazil, tech professionals commonly use the English acronym 'CNN' in conversation, though the full Portuguese translation is used in formal documentation and academic settings. The field originated primarily in North American research institutions, particularly at universities and tech companies like Google and Facebook (now Meta).
Related Idioms & Phrases
train a deep convolutional network
optimize a deep convolutional network
fine-tune a deep convolutional network
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