This little demo shows how to generate a sine with Keras LSTM. It feeds its own prediction back in, in order to generate a whole time series, and not just one point ahead in the future.
It is still a little unstable, meaning the quality (especially the amplitude of the predicted sine) of output depends on the random seed.
The output looks something like this:
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This little demo shows how to generate a sine with Keras LSTM. It feeds its own prediction back in, in order to generate a whole time series, and not just one point ahead in the future.
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