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One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

Machine Learning Street Talk (MLST)

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Intro

This chapter delves into one-shot learning and its impact on machine learning, emphasizing the importance of metrics like triplet and quadruplet loss in developing robust classifiers. It explores the practical applications of these techniques in fields such as facial recognition and self-supervised learning models.

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