autoencoding network
[ɔː.toʊ.ɛn.koʊ.dɪŋ ˈnɛt.wɜrk]
nounpl: autoencoding networks
rede de codificação automática
1. A type of artificial neural network used for unsupervised learning that learns to encode input data into a compressed representation and then decode it back to reconstruct the original input
The autoencoding network successfully reduced the dimensionality of the dataset while preserving the most important features.
A rede de codificação automática reduziu com sucesso a dimensionalidade do conjunto de dados, preservando as características mais importantes.
2. A machine learning architecture consisting of an encoder that compresses data and a decoder that reconstructs it, commonly used for feature extraction and anomaly detection
They used an autoencoding network to identify outliers in their image dataset.
Eles utilizaram uma rede de codificação automática para identificar outliers em seu conjunto de dados de imagens.
This term is primarily used in academic, research, and professional technology contexts in both Brazil and Portugal. It is part of the specialized vocabulary of machine learning and artificial intelligence. In Brazil, 'rede de codificação automática' is the most widely accepted translation in universities and tech companies, while the English term 'autoencoder' is also frequently used in technical documentation and code comments, even among Portuguese speakers.
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