learned representations
[/ˈlɜrnəd ˌrɛprɪˈzɛnˈteɪʃənz/]
noun
representações aprendidas
1. In machine learning and artificial intelligence, the internal mathematical structures or feature vectors that a neural network or model learns to encode information about data during training
The deep neural network develops learned representations in its hidden layers that capture meaningful patterns in the image data.
A rede neural profunda desenvolve representações aprendidas em suas camadas ocultas que capturam padrões significativos nos dados de imagem.
2. Abstract features or embeddings that encode knowledge about a domain in a form that the model can use for prediction or analysis
Word embeddings are learned representations that capture semantic relationships between words in natural language processing.
Embeddings de palavras são representações aprendidas que capturam relações semânticas entre palavras no processamento de linguagem natural.
3. The latent features or compressed information extracted from raw input data through the learning process of a machine learning model
Transfer learning leverages learned representations from one task to improve performance on another related task.
Aprendizado por transferência aproveita representações aprendidas de uma tarefa para melhorar o desempenho em outra tarefa relacionada.
This is a technical term primarily used in AI, machine learning, and data science communities in both Brazil and the USA. It reflects the global nature of computer science research where terminology is largely standardized across English-speaking and Portuguese-speaking communities. The term is increasingly used in Brazilian tech startups and academic institutions as AI adoption grows.
Related Idioms & Phrases
learn representations from data
extract learned representations
leverage learned representations
hidden learned representations
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