RNN prediction results do not match training results


my sine approximation during training works fine, while the prediction (which is feed by previous predictions, with a head start of 20 original values) does not approximate.

I guess there is a bug/misunderstanding in my prediction code :frowning: A hint would be great.


Further testing showed that feeding the network with the predicted values (which have a slight deviation from the target values) cause to spiral the future values out of control. Using a more complex model and training for more episodes seems to solve the issue.

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