What are loss functions in machine learning?
Loss functions measure how well a model's predictions match the actual outcomes. They guide the optimization process.
Can you explain the different types of loss functions?
Sure! Common types include Mean Squared Error for regression, and Cross-Entropy Loss for classification tasks.
How do I choose the right loss function for my model?
Choosing a loss function depends on your specific task. For example, use MSE for regression and Cross-Entropy for classification.
What happens if I use the wrong loss function?
Using the wrong loss function can lead to poor model performance and inaccurate predictions.
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