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목록cross-entropy (1)
Happy Sisyphe
Cross entropy loss
Cross-Entropy Loss: Detailed Explanation and Derivation (D2P)1. What is Cross-Entropy Loss?Cross-entropy loss is a commonly used loss function in classification tasks. It measures the dissimilarity between the true labels $y$ and the predicted probabilities $\hat{y}$ output by the model. The goal is to minimize the cross-entropy loss to ensure the predicted probabilities match the true labels as..
Programming/ML&DL
2024. 12. 18. 13:42