Loss Function()

The loss function is the objective that the model optimizes during training.

How it works

Prediction Ability: it determines what the model learns to predict. Training Speed: this is about how efficiently the model reaches its optimal weights. 1. Guides Weight Updates The loss's gradient tells the optimizer how to adjust the model's weights.