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Focal Loss : A better alternative for Cross-Entropy
April 26, 2022, 2:51 p.m. | Roshan Nayak
Towards Data Science - Medium towardsdatascience.com
Focal Loss: A better alternative for Cross-Entropy
Focal loss is said to perform better than Cross-Entropy loss in many cases. But why Cross-Entropy loss fails, and how Focal loss addresses those problems let us find out in this article
Gradient Descent, Photo by Rostyslav Savchyn on UnsplashLoss functions are mathematical equations that calculate how far the predictions deviate from the actual values. Higher loss values suggest that the model is making a significant error, whereas lower loss values imply …
cross-entropy deep learning entropy loss machine learning python pytorch
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