activation function
[/ˌæktɪˈveɪʃən ˈfʌŋkʃən/]
nounpl: activation functions
função de ativação
1. A mathematical function used in artificial neural networks that determines the output of a neuron based on its input, introducing non-linearity to the model
The ReLU activation function is widely used in deep learning because it helps prevent the vanishing gradient problem.
A função de ativação ReLU é amplamente utilizada em aprendizado profundo porque ajuda a prevenir o problema do gradiente desaparecente.
2. A function that enables neural networks to learn complex, non-linear relationships in data
Without an activation function, a neural network would be just a linear regression model.
Sem uma função de ativação, uma rede neural seria apenas um modelo de regressão linear.
This is a technical term primarily used in machine learning and artificial intelligence contexts. It is equally understood in both Brazil and the USA within academic and tech industry settings. The term has been adopted into Portuguese as a direct translation without significant regional variation in technical communities.
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