Residual Connection (Skip Connection)
A neural network connection that bypasses layers, adding the input directly to output, enabling deeper networks.
In more detail
Residual connections (x + f(x)) allow information to flow directly through layers, helping gradients propagate in very deep networks. Enables training of much deeper networks than possible without them. Key innovation in ResNet.
Examples
- ResNet architecture
- Skip connections in Transformers
- Dense connections in DenseNet
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