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









