single-layer perceptrons
[ˈsɪŋɡəl ˈleɪər pərˈsɛptrɑnz]
nounpl: single-layer perceptrons
perceptrons de camada única
1. A fundamental artificial neural network model consisting of a single layer of output nodes connected directly to input nodes, used for linear classification tasks
Single-layer perceptrons can only solve linearly separable problems, unlike multi-layer networks.
Perceptrons de camada única podem apenas resolver problemas linearmente separáveis, ao contrário das redes multicamadas.
2. The simplest type of artificial neural network capable of learning binary classifications through iterative weight adjustments
The researcher demonstrated how single-layer perceptrons learn through the perceptron learning algorithm.
O pesquisador demonstrou como os perceptrons de camada única aprendem através do algoritmo de aprendizado do perceptron.
3. A machine learning model with no hidden layers that maps input features directly to output predictions
For simple classification tasks, single-layer perceptrons are often sufficient and computationally efficient.
Para tarefas de classificação simples, perceptrons de camada única são frequentemente suficientes e computacionalmente eficientes.
This is a technical term from machine learning and artificial intelligence domains, primarily used in academic, research, and software development contexts in both Brazil and Portugal. The term is largely consistent across Portuguese-speaking regions due to its specialized nature in computer science education and professional practice. In Brazil, it's commonly taught in undergraduate computer science and engineering programs as an introduction to neural networks.
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