Translations:Cross-Entropy Loss/22/en

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    For multi-class classification with $ K $ classes, the true label is typically a one-hot vector $ \mathbf{y} $ with $ y_c = 1 $ for the correct class $ c $. The predicted probabilities $ \hat{\mathbf{y}} $ are obtained via the Softmax Function:

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