Feature Learning
تعلُّم السمات
قدرة الشبكة العصبية على اكتشاف السمات المفيدة تلقائياً من البيانات الخام أثناء التدريب، بدل الاعتماد على سمات يحدّدها الإنسان مسبقاً.
The ability of a neural network to automatically discover useful features from raw data during training, instead of relying on human-specified features.
Also translated asاكتشاف السمات التلقائي
First appears in this corpus in: Representation Learning: A Review and New Perspectives (2013)
Appears in these papers
- Deep Learning2015in the sky ✦
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022in the sky ✦
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022in the sky ✦
- Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018in the sky ✦
- Representation Learning: A Review and New Perspectives2013in the sky ✦
- Representation Learning: A Review and New Perspectives2013in the sky ✦