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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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Terminology: "L1 regularization" even if I'm using mean instead of sum? [duplicate]

In my loss function I'm using the mean of the log-cosh error between the predictions and targets, as well as an additional regularization term that scales as the mean of the absolute value of another …
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