In the following link I see that Bidirectional LSTM is used to predict the future data in time series. I know that a Bidirectional recurrent neural network use both past and future data, and therefore for predicting future data we need future data1! Can anyone explain me how they work when in a time series we are going to predict the future?
https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/ -- https://mail.python.org/mailman/listinfo/python-list
