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Why does the transformer positional encoding use both sine and cosine?

There are three main reasons for using cosine and sine functions in the transformer encoding formula: Periodicity: They have repetitive patterns, which is useful for attention mechanism in a ...
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Tensorflow diagram for attention mechanism

This is a diagram of the attention layer that appears in the English version of the Tensorflow Transformer tutorial (other languages do not have this figure). The ingoing arrows are inputs to the ...
noe's user avatar
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