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The loss function measures the difference between the predicted values and actual values. Common loss functions include Mean Squared Error (MSE) for regression and Cross-Entropy Loss for classification.
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The loss function measures the difference between the predicted values and actual values. Common loss functions include Mean Squared Error (MSE) for regression and Cross-Entropy Loss for classification.