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N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

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JANUARY 16, 2024

Matching Networks: The algorithm computes embeddings using a support set, and one-shot learns by classifying the query data sample based on which support set embedding is closest to the query embedding – source. The embedding functions can be convolutional neural networks (CNNs).

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N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

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