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FEW-SHOT LEARNING DEFINITION
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Few-Shot Learning
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What is Few-Shot Learning?
Few-Shot Learning is a task in
machine learning
where a model learns to recognize or classify objects based on a very limited number of examples per class. It requires the model to generalize from a few labeled samples.
RELATED TERMS
Machine Learning
