feedforward neural networks
[/ˈfɛdfɔrwərd ˈnjʊrəl ˈnɛtwɜrks/]
nounpl: feedforward neural networks
redes neurais feedforward
1. Artificial neural networks where information flows in one direction only, from input layer through hidden layers to output layer, without feedback connections or cycles
Feedforward neural networks are the most common type of artificial neural network used in supervised learning tasks.
Redes neurais feedforward são o tipo mais comum de rede neural artificial utilizado em tarefas de aprendizado supervisionado.
2. A type of machine learning model where each neuron receives inputs only from neurons in the previous layer
The architecture of feedforward neural networks makes them computationally efficient for classification problems.
A arquitetura das redes neurais feedforward as torna computacionalmente eficientes para problemas de classificação.
This is highly technical terminology used universally in computer science, machine learning, and artificial intelligence fields across English-speaking and Portuguese-speaking countries. The term 'feedforward' is predominantly used in its English form even in Portuguese technical literature, though it is always paired with the Portuguese 'redes neurais' (neural networks). In academic and industry contexts in Brazil, Portugal, and the USA, the English term is often retained due to standardization in scientific publications and international collaboration.
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