論文筆記-雙向Attention：A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
論文地址 GitHub代碼地址 論文題目爲《基於雙階段注意力機制的循環神經網絡》,文章本質上還是基於Seq2Seq的模型，結合了注意力機制實現的時間序列的預測方法，文章的一大亮點是：不僅在解碼器的輸入階段引入注意力機制，還在編碼器階段引入注意力機制，編碼器的階段的注意力機制實現了特徵選取和把握時序依賴關係的作用。 分爲兩個階段： 第一階段：使用注意力機制從而能夠自適應提取每個時刻的特徵，這是本文的
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相關文章
- 1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction閱讀筆記
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- 10. 論文筆記：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation