【机器学习】矩阵求导总结
公式推导皆以分母布局(即分子为行向量或者分母为列向量), x=[x1x2⋯xn]Tx = \begin{bmatrix} x_{1} x_{2}\cdots x_{n}
\end{bmatrix}^Tx=[x1x2⋯xn]T, ∂y∂x=[∂y∂x]=[∂y∂x1∂y∂x2⋮∂y∂xn]\frac{\partial y}{\partial x} = [\frac{\partial
y}{\partial x}]
=\begin{bmatrix}
\frac{\partial y}{\p.
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2020-08-11 10:26:00 ·
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