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Technical GlossaryDeep Learning

Skip Connection

An architectural connection that allows information to bypass certain layers and improves training stability.

Skip connections are general architectural structures used to preserve information and gradient flow in very deep networks. Residual blocks are one specific form of this idea, but the concept of skip connections is broader and appears in many network designs. These links can reduce the loss of early-layer information and make optimization significantly easier.