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Few shot learning with Triplet Loss

This video is a sample of the materials covered in our Deep Learning (II) module.

In it you can see an established technique for solving inverted classification problems, also called few-shot-learning problems.

It revolves around using a Siamese Network and a custom loss function called Triplet Loss to learn a distance metric between pairs of examples.

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