Difference in initial predicition for LSTM Training matlab

I have done timeseries training with LSTM in matlab. Once i am doing prediction for data apart from training i am observing difference in initial timestep then its matching quite well with actual test data. Is there any way to improve it?

Dataset has two input and one output. i have normalised dataset and havent considered time as feature in the dataset.I have done timeseries training with LSTM in matlab. Once i am doing prediction for data apart from training i am observing difference in initial timestep then its matching quite well with actual test data. Is there any way to improve it?

Dataset has two input and one output. i have normalised dataset and havent considered time as feature in the dataset. I have done timeseries training with LSTM in matlab. Once i am doing prediction for data apart from training i am observing difference in initial timestep then its matching quite well with actual test data. Is there any way to improve it?

Dataset has two input and one output. i have normalised dataset and havent considered time as feature in the dataset. deep learning, lstm MATLAB Answers — New Questions

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