> ML_ARCHITECTURE // RESIDUAL-NEURAL-NETWORK-RESNET_v1.0
Residual Neural Network (ResNet-18 to ResNet-152)
Foundational CNN backbone introducing identity shortcut skip connections (F(x) + x) to eliminate vanishing gradients and enable optimization of networks hundreds of layers deep.
Convolutional Neural Networksimage
Back to All ArchitecturesArchitecture Overview
Foundational CNN backbone introducing identity shortcut skip connections (F(x) + x) to eliminate vanishing gradients and enable optimization of networks hundreds of layers deep.
Implementing Libraries
Seminal Papers
Deep Residual Learning for Image RecognitionKaiming He, Xiangyu Zhang (2016) · IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Architectural Limitations & Constraints
- Requires compatible deep learning framework and hardware acceleration for efficient execution.