Softmax Regression

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(Properties of softmax regression parameterization)
(Introduction)
Line 17: Line 17:
\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
Line 77: Line 77:
<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>

Revision as of 18:11, 10 May 2011

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