AI Large Model Application Practice
May 16, 2025 · Artificial Intelligence
Why Residual Connections Keep Deep Neural Networks Stable
This article explains why residual connections are essential in deep neural networks, describing the problems of network degradation and gradient vanishing, how shortcut paths add the input to the layer output, the requirement of matching dimensions, and the resulting stability for training large language models.
LLMResidual Connectionsgradient flow
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