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[D] Positional Encoding in Transformer

Hey all,

I was reading up the transformer paper https://arxiv.org/abs/1706.03762. This architecture uses positional encoding which the attention layers ignore.

I don’t understand two things –

  1. Why use Sin & Cos as positional embeddings , why not any other function?
  2. They also talk about training these positional embeddings, how do you go about training such embeddings. As in how do you let the model know that these embeddings are for the position

Thanks !

submitted by /u/amil123123
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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.