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الاتصال التجاوزي

مسار مختصر يُضيف مدخل الطبقة مباشرة إلى مخرجها، مما يتيح تدفق التدرجات عبر الشبكة دون تدهور. يُسمى أيضاً الاتصال المتبقي.

A shortcut path that adds a layer's input directly to its output, allowing gradients to flow through the network without degradation. Also called residual connection.

Also translated asاتصال تجاوزي، الاتصال العابر للطبقات، الاتصال القافز، الاتصال القَفزي، الاتصال المتبقي، الاتصال المتخطّي، الرابط الالتفافي، الوصلة المُختصَرة، وصلات التخطّي، وصلة التخطّي، وصلة العبور، وصلة تجاوزية، وصلة مختصرة

First appears in this corpus in: Very Deep Convolutional Networks for Large-Scale Image Recognition (2014)

Appears in these papers

Parameter-Efficient Transfer Learning for NLP2019 in the sky ✦
A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play2018 in the sky ✦
A ConvNet for the 2020s2022 in the sky ✦
A ConvNet for the 2020s2022 in the sky ✦
Denoising Diffusion Probabilistic Models2020 in the sky ✦
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019 in the sky ✦
Fully Convolutional Networks for Semantic Segmentation2015 in the sky ✦
High-Resolution Image Synthesis with Latent Diffusion Models2022 in the sky ✦
Visualizing the Loss Landscape of Neural Nets2018 in the sky ✦
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis2020 in the sky ✦
Image-to-Image Translation with Conditional Adversarial Networks2017 in the sky ✦
Image-to-Image Translation with Conditional Adversarial Networks2017 in the sky ✦
Deep Residual Learning for Image Recognition2015 in the sky ✦
Deep Residual Learning for Image Recognition2015 in the sky ✦
Analyzing and Improving the Image Quality of StyleGAN2020 in the sky ✦
Analyzing and Improving the Image Quality of StyleGAN2020 in the sky ✦
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021 in the sky ✦
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021 in the sky ✦
U-Net: Convolutional Networks for Biomedical Image Segmentation2015 in the sky ✦
U-Net: Convolutional Networks for Biomedical Image Segmentation2015 in the sky ✦
Very Deep Convolutional Networks for Large-Scale Image Recognition2014 in the sky ✦
WaveNet: A Generative Model for Raw Audio2016 in the sky ✦
WaveNet: A Generative Model for Raw Audio2016 in the sky ✦
YOLOv3: An Incremental Improvement2018 in the sky ✦