Loss
A measure of how wrong the model's predictions are, used to guide training.
In italiano: LossLoss function quantifies error. Training minimizes loss. Lower loss = better model. Different tasks use different loss functions.
Examples
- Cross-entropy loss
- Mean squared error
- Loss decreasing over epochs