這是某篇論文附的code 想請問像這樣的情況 架構圖長什麼樣
謝謝回答
原文：In this stage, the data is fed to the neural network and trained for prediction assigning random biases and weights. Our LSTM model is composed of a sequential input layer followed by 2 LSTM layers and dense layer with ReLU
activation and then finally a dense output layer with linear activation function.
論文：https://www.ijsr.net/archive/v6i4/ART20172755.pdf
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不專業碼農~~回答
目前看來是4個輸入 (相同資料 輸入兩次 不同的LSTM)
最後合併
然後輸出1個數值
(本想輸出可視化的圖形，但出現Bug@@)
可以參考
https://medium.com/@daniel820710/%E5%88%A9%E7%94%A8keras%E5%BB%BA%E6%A7%8Blstm%E6%A8%A1%E5%9E%8B-%E4%BB%A5stock-prediction-%E7%82%BA%E4%BE%8B-1-67456e0a0b
iThome鐵人賽
看影片追技術