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I would like to find out an intuitive explanation of what are embeddings in the context of machine learning and neural networks. Is that essentially the same thing as a manifold? I've read a bunch of abstract explanations but I would appreciate one that intuitively explains what they really are, giving examples if possible.

kamilazdybal
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  • Some discussion in the context of NN embedding layers can be found here: https://stats.stackexchange.com/questions/182775/what-is-an-embedding-layer-in-a-neural-network – Sycorax Feb 06 '20 at 04:35

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