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A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.

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Training loss goes down and up again. What is happening?

My training loss goes down and then up again. It is very weird. The cross-validation loss tracks the training loss. What is going on? I have two stacked LSTMS as follows (on Keras): model = Sequent …
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