深度学习与PyTorch笔记14

链式法则

Derivative Rules

Rules Function Derivative
sum f+gf+g f+gf^{'}+g^{'}
difference fgf-g fgf^{'}-g^{'}
product fgfg fg+fgfg^{'}+f^{'}g
quotient f/gf/g (fg+fg)/g2(fg^{'}+f^{'}g)/g^{2}
chain(usingddx\frac{d}{dx}) dydx=dydududx\frac{dy}{dx}=\frac{dy}{du}\frac{du}{dx}

Chain rule

yx=yuux\frac{\partial y}{\partial x}=\frac{\partial y}{\partial u}\frac{\partial u}{\partial x}
y1=xw1+b1y_{1}=xw_{1}+b_{1}
y2=y1w2+b2y_{2}=y_{1}w_{2}+b_{2}
y1y_{1}为中间变量
y2w1=f(y1)w1=f(y1)y1y1w1=w2x\frac{\partial y_{2}}{\partial w_{1}}=\frac{\partial f(y_{1})}{\partial w_{1}}=\frac{\partial f(y_{1})}{\partial y_{1}}\frac{\partial y_{1}}{\partial w_{1}}=w_{2}*x
深度学习与PyTorch笔记14
从复杂到简单。
深度学习与PyTorch笔记14