Verified80% confidenceFactTime unknown
ResNet (Residual Network) was proposed by Microsoft Research's He Kaiming team in 2015 and solved the vanishing gradient problem in deep network training by introducing residual connections.
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80%
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6/1/2026
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UnverifiedResNet（残差网络）通过跳跃连接解决了深层网络的梯度消失问题，能提取层次化视觉特征80% similarUnverifiedResNet（2015，He 等人）通过引入跳跃连接构造恒等映射的学习旁路，将可训练网络深度推进至 152 层乃至千层，并在 ImageNet 上以显著优势夺冠78% similarUnverifiedResidual connections were first introduced into deep learning by He Kaiming in ResNet in 2015.75% similarUnverified微软研究院何恺明等人于2015年提出残差连接（Residual Connection），使训练超过100层乃至1000层的极深神经网络成为可能75% similar
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