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by Michele Laurelli

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ResNet (Residual Network)

/ˈrɛznɛt/
Architecture
Definition

A CNN architecture that uses residual connections (skip connections) to enable training of very deep networks.

ResNet introduced skip connections that allow gradients to flow directly through the network, solving the degradation problem in very deep networks. Variants include ResNet-50, ResNet-101, and ResNet-152.

Examples

1

Image classification

2

Feature extraction backbone

3

Transfer learning base

Related Terms

CNN (Convolutional Neural Network)

A deep learning architecture specialized for processing grid-like data such as images, using convolutional layers.

Computer Vision

A field of AI enabling computers to derive meaningful information from visual inputs like images and videos.

Michele Laurelli - AI Research & Engineering