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The Invention of ResNet (Residual Networks)

    Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun of Microsoft Research introduced the Deep Residual Learning architecture. By utilizing identity shortcut connections—known as residual routing—to allow gradients to flow cleanly through the network without vanishing, they successfully trained networks up to 152 layers deep, obliterating all previous ImageNet records with an unprecedented 3.57% error rate and permanently changing deep model design.

    Part of the 34 AI Roots Facts: 2015 Edition archive. HistoricallyVerified

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