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Results tagged with word-embeddings
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user 117694
Word embedding is the collective name for a set of language modeling and feature learning techniques in NLP where words are mapped to vectors of real numbers in a low dimensional space, relative to the vocabulary size.
5
votes
Why is 10000 used as the denominator in Positional Encodings in the Transformer Model?
This is my understanding, feel free to correct me, I feel looking at how n visually impact the positional encoding matrix helpful.
Here is the same positional encoding (sequence length=100 and dimens …
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