File:1801.02143 Fig5.png

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1801.02143_Fig5.png ‎(674 × 506 pixels, file size: 159 KB, MIME type: image/png)

Fig. 5: SBU-LSTMs architecture necessarily consists of a BDLSTM layer and a LSTM layer. Masking layer for handling missing values and multiple LSTM or BDLSTM layers as middle layers are optional. In: Zhiyong Cui, Ruimin Ke, and Yinhai Wang (2018). "Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction" (PDF). arXiv preprint [arXiv:1801.02143].

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current23:03, 29 July 2018Thumbnail for version as of 23:03, 29 July 2018674 × 506 (159 KB)Omoreira (talk | contribs)Fig. 5: SBU-LSTMs architecture necessarily consists of a BDLSTM layer and a LSTM layer. Masking layer for handling missing values and multiple [[LSTM]...

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