为什么残差连接的网络结构更容易学习?
在计算损失时 根据后向传播的链式法则: \frac{\partial L}{\partial X_{Aout}} = \frac{\partial L}{\partial X_{Din}}\cdot \frac{\partial X_{Din}}{\partial X_{Aout}}         (1) 而在没有identity的情况下: X_{Din} = C(B(X_{Aout}))         (2) 代入到(1)中得到: \frac{\partial L}{\partial X_{Aout}} = \frac{\partial L}{\partial X_{Din