Cross-Entropy

Prehľadávať všetok obsah označený Cross-Entropy

Glossary

Kros-entropia

Kros-entropia je kľúčový pojem v informačnej teórii aj strojovom učení. Slúži ako metrika na meranie rozdielu medzi dvoma pravdepodobnostnými rozdeleniami. V strojovom učení sa používa ako strata na kvantifikáciu nesúladu medzi predikovanými výstupmi a skutočnými značkami, čím optimalizuje výkon modelu, najmä pri klasifikačných úlohách.

Cross-Entropy Machine Learning Loss Function +2
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