Why Transformers Need Positional Encoding For Time Series: A Visual Guide
中文摘要
本文通过视觉指南解释了时间序列中位置编码的必要性，说明了如何利用位置信息在自注意力机制中恢复序列顺序。
English Summary
This visual guide explains why time series Transformers need positional encoding to restore sequence order within self-attention mechanisms.
原文节选
From scalar observations to self-attention, and how positional information restores sequence order The post Why Transformers Need Positional Encoding For Time Series: A Visual Guide appeared first on Towards Data Science.