autoencoder model
[ˌɔːtəʊɛnˈkoʊdər ˈmɑːdəl]
nounmasculinepl: autoencoder models / modelos autoencodificadores
modelo autoencodificador
1. A type of artificial neural network used for unsupervised learning that learns to compress data into a lower-dimensional representation and then reconstruct it, consisting of an encoder that compresses input data and a decoder that reconstructs the original data from the compressed representation.
The autoencoder model was trained to reduce the dimensionality of the image dataset while preserving the most important features.
O modelo autoencodificador foi treinado para reduzir a dimensionalidade do conjunto de dados de imagens preservando as características mais importantes.
2. A machine learning architecture commonly used for feature extraction, dimensionality reduction, anomaly detection, and data denoising tasks.
We implemented an autoencoder model to detect fraudulent transactions by identifying unusual patterns in the data.
Implementamos um modelo autoencodificador para detectar transações fraudulentas identificando padrões incomuns nos dados.
Autoencoder models are predominantly used in technical and academic contexts within both Brazil and Portugal, particularly in universities, research institutions, and tech companies. The term is standardized across both English-speaking and Portuguese-speaking machine learning communities. In Brazil, there is growing adoption of these models in fintech and data science sectors, while in Portugal, usage is primarily concentrated in academic research and emerging tech startups.
Related Idioms & Phrases
bottleneck layer of an autoencoder
training an autoencoder from scratch
autoencoder loss function
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