In the notebook, we define a triplet Network for use with the Omniglot dataset. We introduce the triplet loss, propose two methods of triplet selection (based on random and hard triplets), and we evaluate one-shot learning with the random and hard triplet selection methods. Furthermore, we compare these two methods against each other and discuss how one should pick a margin.
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Performing one-shot learning using a triplet network with different triplet selection methods (random and hard).