The model predicts a target, a loss compares the prediction with the reference, and optimization updates parameters. Classification, regression, and sequence prediction can all use supervised objectives.
Supervised learning trains a model from examples paired with target labels or outputs.
The model predicts a target, a loss compares the prediction with the reference, and optimization updates parameters. Classification, regression, and sequence prediction can all use supervised objectives.