perceptron training algorithm
[/pərˈsɛptrɑn ˈtreɪnɪŋ ˈælɡərɪðəm/]
nounpl: perceptron training algorithms
algoritmo de treinamento do perceptron
1. A supervised learning algorithm used to train a perceptron, a type of artificial neural network classifier, by iteratively adjusting weights based on prediction errors to achieve binary classification.
The perceptron training algorithm updates weights whenever it makes a misclassification on the training data.
O algoritmo de treinamento do perceptron atualiza os pesos sempre que comete uma classificação incorreta nos dados de treinamento.
2. A machine learning procedure that uses the perceptron rule to converge to a solution that correctly separates linearly separable classes.
Researchers implemented the perceptron training algorithm to distinguish between spam and legitimate emails.
Os pesquisadores implementaram o algoritmo de treinamento do perceptron para distinguir entre emails de spam e legítimos.
3. The foundational method in neural network training that adjusts connection weights proportionally to prediction errors and learning rate parameters.
The perceptron training algorithm is foundational to modern deep learning techniques.
O algoritmo de treinamento do perceptron é fundamental para as técnicas modernas de aprendizado profundo.
This is a specialized technical term primarily used in academic and professional machine learning contexts. The term is used identically in both Brazilian and American English-speaking technical communities, though Portuguese variants differ slightly between Brazil and Portugal. In Brazil, it's commonly taught in computer science programs and used in AI/ML research laboratories.
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