shallow neural network
[ˈʃæloʊ ˈnjʊrəl ˈnɛtˌwɜrk]
nounpl: shallow neural networks
rede neural rasa
1. A neural network with few hidden layers (typically one or two) between the input and output layers, used for simpler machine learning tasks
A shallow neural network can be sufficient for linearly separable classification problems.
Uma rede neural rasa pode ser suficiente para problemas de classificação linearmente separáveis.
2. A type of artificial neural network architecture with limited depth, as opposed to deep neural networks with many layers
Shallow neural networks are computationally less expensive than deep learning models.
Redes neurais rasas são computacionalmente menos custosas do que modelos de aprendizado profundo.
This is a technical term primarily used in artificial intelligence, machine learning, and computer science fields. In Brazil, the term 'rede neural rasa' is standard in academic publications and tech industry. The distinction between shallow and deep networks has become increasingly important since the rise of deep learning in the 2010s. Both Brazilian and Portuguese technical communities use this terminology consistently, though Portugal may occasionally prefer 'superficial' as a variant.
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