Difference between revisions of "Cross-Entropy Loss"
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| + | Cross-entropy loss is one of the most widely used loss functions in classification scenarios. In face recognition tasks, the cross-entropy loss is an effective method to eliminate outliers. [http://arxiv.org/pdf/1904.09523.pdf Neural Architecture Search for Deep Face Recognition | Ning Zhu] | ||
Revision as of 18:53, 9 April 2020
YouTube search... ...Google search
Cross-entropy loss is one of the most widely used loss functions in classification scenarios. In face recognition tasks, the cross-entropy loss is an effective method to eliminate outliers. Neural Architecture Search for Deep Face Recognition | Ning Zhu
