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[D] Is there any way to explain the output features of the word2vec.

I am aware of the famous example of Embedding(King) – Embedding(Man) + Embedding(Woman) = Embedding(Queen). From this example, we can say that the characteristic of “royalty” has been understood.

I guess in a way I am trying to interpret the hidden layer neurons which might not always have meaning.

I have looked into techniques like SHAP and LIME but I’m still to plug the concepts together.

submitted by /u/korokage
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.