Cross-Entropy Loss
فقد الإنتروبيا التقاطعية
دالة فقد تقيس الفرق بين التوزيعات الاحتمالية المتنبَّأ بها والفعلية، وهي المعيار في تدريب النماذج اللغوية.
A loss function measuring the difference between predicted and actual probability distributions, standard for language model training.
Also translated asخسارة الإنتروبيا المتقاطعة، فقد المقارنة التقاطعية
First appears in this corpus in: U-Net: Convolutional Networks for Biomedical Image Segmentation (2015)
Appears in these papers
- BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019in the sky ✦
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019in the sky ✦
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019in the sky ✦
- Chronos: Learning the Language of Time Series2024in the sky ✦
- Deep Reinforcement Learning from Human Preferences2017in the sky ✦
- Emerging Properties in Self-Supervised Vision Transformers2021in the sky ✦
- Emerging Properties in Self-Supervised Vision Transformers2021in the sky ✦
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018in the sky ✦
- Unsupervised Representation Learning by Predicting Image Rotations2018in the sky ✦
- Unsupervised Representation Learning by Predicting Image Rotations2018in the sky ✦
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015in the sky ✦
- YOLOv3: An Incremental Improvement2018in the sky ✦