What is a loss function in deep learning?

What is a loss function in deep learning?

A loss function measures how well a model's predictions match the actual data. It's crucial for training.

Can you give me examples of common loss functions?

Sure! Common loss functions include Mean Squared Error for regression and Cross-Entropy Loss for classification.

How does the choice of loss function affect model performance?

The choice of loss function can significantly impact training efficiency and the model's ability to generalize.

What happens if I use the wrong loss function?

Using the wrong loss function can lead to poor model performance, overfitting, or failure to converge during training.