multilayer perceptrons
[ˈmʌltiˌleɪər pərˈsɛptrənz]
nounpl: multilayer perceptrons
perceptrons multicamadas
1. A type of artificial neural network consisting of multiple layers of interconnected nodes (neurons) used for supervised learning tasks, capable of learning non-linear relationships in data
Multilayer perceptrons are widely used in deep learning for image recognition and natural language processing tasks.
Os perceptrons multicamadas são amplamente utilizados em aprendizado profundo para tarefas de reconhecimento de imagens e processamento de linguagem natural.
2. A feedforward neural network with at least one hidden layer between input and output layers, trained typically using backpropagation algorithm
The multilayer perceptron architecture consists of an input layer, one or more hidden layers, and an output layer.
A arquitetura do perceptron multicamadas consiste em uma camada de entrada, uma ou mais camadas ocultas e uma camada de saída.
This is a technical term predominantly used in computer science, artificial intelligence, and machine learning fields. While originating from English academic literature, the term has been adopted into Brazilian Portuguese technical vocabulary without significant regional variation. It is primarily used in academic institutions, technology companies, and research environments across Brazil and Portugal.
Related Idioms & Phrases
train a multilayer perceptron
multilayer perceptron architecture
multilayer perceptron model
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