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I'm using TensorFlow to label time series using an LSTM, such that the labels to attribute to each timestep in the data are floats comprehended between -1 and +1.

I'm struggling to find an adequate cost function for the problem. I have tried the following cost functions:

Is there a better cost function I can use in order to obtain not only magnitude, but also shape similarity for the predicted labels?

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