Latent Space
الفضاء الكامن
تمثيل مضغوط للبيانات يحمل المعلومات الدلالية الجوهرية (أشكال وألوان وبنية) مع إسقاط التفاصيل غير المُدرَكة، ويُنتَج عادةً بمُرمِّز ذاتي.
A compressed representation of data that retains essential semantic information (shapes, colors, structure) while discarding imperceptible details, typically produced by an autoencoder.
Also translated asالحيز الخفي، الفضاء الخفي، فضاء الأبعاد المستترة، فضاء التمثيل الكامن، فضاء كامن
First appears in this corpus in: On Information and Sufficiency (1951)
Appears in these papers
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- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- Denoising Diffusion Implicit Models2021in the sky ✦
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- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Reducing the Dimensionality of Data with Neural Networks2006in the sky ✦
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- On Information and Sufficiency1951in the sky ✦
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