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Does it make sense to have loss values around 70?
- Loss functions calculate the discrepancy between model output and ground truth.
- Mean Squared Error (MSE) is used for regression problems.
- Cross-Entropy Loss is used for classification problems.
- The interpretation of loss values depends on the specific problem, dataset, and chosen loss function.
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