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Linear
1:27
YouTube
DataMListic
Cross-Entropy is Surprise on the Wrong Distribution
Surprise is negative log base two of a probability — but whose probability? If reality follows p and your model believes q, you're pricing outcomes from p with the surprise q assigns them. Average that across every outcome and you get cross-entropy. When q equals p it collapses back to ordinary entropy; otherwise it's strictly larger, and ...
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