Reconstruction Error
خطأ إعادة البناء
الفرق القابل للقياس بين المُدخلات الأصلية ومُخرجات المرمّز التلقائي بعد ضغط البيانات عبر عنق الزجاجة ثم إعادة بنائها.
The measurable difference between the original input and the autoencoder's output after compression and reconstruction.
Also translated asخطأ الاسترجاع، فقدان إعادة التركيب
First appears in this corpus in: A Learning Algorithm for Boltzmann Machines (1985)
Appears in these papers
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017in the sky ✦
- A Learning Algorithm for Boltzmann Machines1985in the sky ✦
- DALL·E: Zero-Shot Text-to-Image Generation2021in the sky ✦
- Reducing the Dimensionality of Data with Neural Networks2006in the sky ✦
- Extracting and Composing Robust Features with Denoising Autoencoders2008in the sky ✦
- K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation2006in the sky ✦
- Face Recognition Using Eigenfaces1991in the sky ✦
- Face Recognition Using Eigenfaces1991in the sky ✦
- GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022in the sky ✦
- Jukebox: A Generative Model for Music2020in the sky ✦
- Jukebox: A Generative Model for Music2020in the sky ✦
- Rectified Linear Units Improve Restricted Boltzmann Machines2010in the sky ✦
- Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996in the sky ✦
- Auto-Encoding Variational Bayes2013in the sky ✦
- Auto-Encoding Variational Bayes2013in the sky ✦
- Neural Discrete Representation Learning2017in the sky ✦
- Neural Discrete Representation Learning2017in the sky ✦
- World Models2018in the sky ✦
- World Models2018in the sky ✦