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Explanation:

- The input t_hat represents the predicted binary labels, and t represents the true binary labels.
- The function uses the cross-entropy loss function to calculate the loss.
- The cross-entropy loss function is defined as:

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- The loss is calculated for each point and then taking the mean of these losses to calculate the empirical loss of the whole set of predictions.
- The function returns the value of empirical loss, which quantifies how far the predicted labels are from the true labels.

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