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ResNet (Residual Network)

Neural Networks

CNN with skip connections

What is ResNet (Residual Network)?

Introduces residual connections allowing gradients to flow directly. Enables very deep networks (100+ layers).

Real-World Examples

  • •ResNet-50
  • •ResNet-152
  • •Image classification backbone

When to Use This

State-of-art CNN architecture for image tasks

Related Terms

Learn more about concepts related to ResNet (Residual Network)

Convolutional Neural Network (CNN)

Neural network specialized for processing grid-like data (images)

Deep Learning

ML using multi-layered neural networks