I am trying to use LSTM to predict a time series data as you can see in the following image, the predicted graphs is very noisy:
That I normalized it like this and fed it to the LSTM network:
Is there a way to get better result with less noise?
EDIT: I use
keras implementation of LSTM and
sklearn.preprocessing.normalize library for normalization.