Few-Shot Learning

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Glossary

Few-Shot Learning

Few-Shot Learning é uma abordagem de aprendizado de máquina que permite que modelos façam previsões precisas usando apenas um pequeno número de exemplos rotulados. Diferentemente dos métodos supervisionados tradicionais, foca em generalizar a partir de dados limitados, aproveitando técnicas como meta-aprendizagem, transferência de aprendizado e aumento de dados.

Few-Shot Learning Machine Learning Meta-Learning +2
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