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Loss Function()
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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.