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
相關文章
- 1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction閱讀筆記
- 2. [IJCAI 2017]A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- 3. （轉）LSTM NEURAL NETWORK FOR TIME SERIES PREDICTION
- 4. 論文筆記：Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition
- 5. 論文筆記：Autoregression Convolutional Neural Network for Asynchronous Time Series
- 6. Recurrent neural networks for multivariate time series with missing values文獻閱讀
- 7. 論文筆記：Recurrent Neural Network Grammars
- 8. 論文Product-based Neural Network for User Response Prediction
- 9. EA-LSTM: Evolutionary attention-based LSTM for time series prediction
- 10. 論文筆記：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
- 更多相關文章...
- • PHP time() 函數 - PHP參考手冊
- • ASP.NET Razor - 標記 - ASP.NET 教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • 算法總結-雙指針
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 「插件」Runner更新Pro版，幫助設計師遠離996
- 2. 錯誤 707 Could not load file or assembly ‘Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKe
- 3. Jenkins 2018 報告速覽，Kubernetes使用率躍升235%！
- 4. TVI-Android技術篇之註解Annotation
- 5. android studio啓動項目
- 6. Android的ADIL
- 7. Android卡頓的檢測及優化方法彙總（線下+線上）
- 8. 登錄註冊的業務邏輯流程梳理
- 9. NDK(1)創建自己的C/C++文件
- 10. 小菜的系統框架界面設計-你的評估是我的決策
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction閱讀筆記
- 2. [IJCAI 2017]A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- 3. （轉）LSTM NEURAL NETWORK FOR TIME SERIES PREDICTION
- 4. 論文筆記：Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition
- 5. 論文筆記：Autoregression Convolutional Neural Network for Asynchronous Time Series
- 6. Recurrent neural networks for multivariate time series with missing values文獻閱讀
- 7. 論文筆記：Recurrent Neural Network Grammars
- 8. 論文Product-based Neural Network for User Response Prediction
- 9. EA-LSTM: Evolutionary attention-based LSTM for time series prediction
- 10. 論文筆記：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation