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Depending on the problem we are trying to solve, the loss function varies. Today we are going to learn about Triplet losses. You must have heard about it while reading about Siamese networks.
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Triplet loss is an important loss function for learning a good “representation”. What’s a representation you ask? Finding similarity (or difference) between two images is hard if you just use pixels.
So what do we do about it - given three images cat1, cat2, dog, we use a neural network to map the images to vectors f(cat1), f(cat2), and f(dog).
