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ONE-SHOT LEARNING DEFINITION
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One-shot Learning
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What is One-shot Learning?
One-shot Learning is a task in
machine learning
where a model learns to recognize or classify objects based on a single or very few examples. It requires the model to generalize from limited data and extract meaningful features.
RELATED TERMS
Machine Learning
