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by mlucy
2791 days ago
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Definitely! In particular, semantically similar words are close to each other after embedding, so the space ends up with semantically meaningful clusters. Our embeddings have the same property. If you embed two similar images, they'll end up closer to each other than two dissimilar images. (Where "similar" depends on the training details, but that's true for word2vec as well.) |
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