Loss indicates the magnitude of error your model made on its prediction. It’s a method of evaluating how well your algorithm models your dataset. If your predictions are totally off, your loss function will output a higher number. If they’re pretty good, it’ll output a lower one.
The following loss functions are available on the Platform:
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