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Supervised Sequence Labelling with Recurrent Neural Networks 筆記 -LSTM
時間 2020-12-23
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Chapter 4 Long Short-Term Memory 4.1Network Architecture 乘法門允許LSTM存儲單元在長時間內存儲和訪問信息,從而減輕梯度消失的問題。例如,只要輸入門保持關閉(即有一個 激活接近於0),單元的激活狀態不會被網絡中新的輸入所覆蓋。並且可以通過打開輸出門,把這個信息輸出給更後面的序列。(也就是說利用這種方法保持了單元的激活信息,給後面的序列用)L
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相關文章
1.
BP,RNN 和 LSTM暨《Supervised Sequence Labelling with Recurrent Neural Networks-2012》閱讀筆記
2.
Sequence Models(Week1)---Recurrent Neural Networks
3.
CHAPTER 9 Sequence Processing with Recurrent Networks
4.
Recurrent Neural Networks VS LSTM
5.
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
6.
ROLO:Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
7.
Paper:Sequence to Sequence Learning with Neural Networks
8.
Sutskever2014_Sequence to Sequence Learning with Neural Networks
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10.
Recurrent Neural Networks Tutorial閱讀筆記
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