Breaking Down Complexity: How ResNet's Skip Connections Revolutionized Deep Learning

Deep networks have a cruel paradox. In theory, more layers should never hurt — the extra ones could just learn to pass their input through unchanged. In practice, before 2015, stacking more plain layers made networks worse: a 56-layer net had higher training error than a 20-layer one. The gradient v

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