How do residual connections improve deep neural networks?

Updated May 17, 2026

Short answer

Residual connections allow gradients to flow directly, enabling training of very deep networks.

Deep explanation

They add skip connections so layers learn residual mappings instead of full transformations, solving vanishing gradient issues.

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