Softmax Regression

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For convenience, we will also write  
For convenience, we will also write  
<math>\theta</math> to denote all the
<math>\theta</math> to denote all the
-
parameters of our model.  When you implement softmax regression, is usually
+
parameters of our model.  When you implement softmax regression, it is usually
convenient to represent <math>\theta</math> as a <math>k</math>-by-<math>(n+1)</math> matrix obtained by
convenient to represent <math>\theta</math> as a <math>k</math>-by-<math>(n+1)</math> matrix obtained by
stacking up <math>\theta_1, \theta_2, \ldots, \theta_k</math> in rows, so that
stacking up <math>\theta_1, \theta_2, \ldots, \theta_k</math> in rows, so that

Revision as of 00:58, 11 May 2011

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