Softmax Regression
From Ufldl
(→Properties of softmax regression parameterization) |
(→Introduction) |
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\end{align}</math> | \end{align}</math> | ||
- | and the model parameters <math>\theta</math> were trained to minimize | + | and the model parameters <math>\theta</math> were trained to ''minimize'' |
the cost function | the cost function | ||
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<math> | <math> | ||
\theta = \begin{bmatrix} | \theta = \begin{bmatrix} | ||
- | \mbox{--}\theta_1^T\mbox{--} | + | \mbox{--}\theta_1^T\mbox{--} \\ |
\mbox{--}\theta_2^T\mbox{--} \\ | \mbox{--}\theta_2^T\mbox{--} \\ | ||
- | \vdots | + | \vdots \\ |
- | \mbox{--}\theta_k^T\mbox{--} | + | \mbox{--}\theta_k^T\mbox{--} \\ |
\end{bmatrix} | \end{bmatrix} | ||
</math> | </math> |