Denoising Autoencoder
المرمِّز الذاتي لإزالة الضوضاء
شبكة عصبية تتعلّم إعادة بناء مدخل نظيف من نسخة مشوَّشة منه، مما يُجبرها على التقاط البنية الجوهرية للبيانات بدلاً من حفظها حرفياً.
A neural network that learns to reconstruct a clean input from a corrupted version, forcing it to capture the essential structure of data rather than memorizing it verbatim.
Also translated asمُفكِّك التشويش الذاتي، المرمِّز التلقائي لتنقية الإشارة
First appears in this corpus in: Extracting and Composing Robust Features with Denoising Autoencoders (2008)
Appears in these papers
- BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019in the sky ✦
- BART: Denoising Sequence-to-Sequence Pre-Training for Natural Language Generation, Translation, and Comprehension2019in the sky ✦
- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Extracting and Composing Robust Features with Denoising Autoencoders2008in the sky ✦
- Extracting and Composing Robust Features with Denoising Autoencoders2008in the sky ✦
- Representation Learning: A Review and New Perspectives2013in the sky ✦