Softmax Regression

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m (Properties of softmax regression parameterization)
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regression's parameters are "redundant."  More formally, we say that our
regression's parameters are "redundant."  More formally, we say that our
softmax model is '''overparameterized,''' meaning that for any hypothesis we might
softmax model is '''overparameterized,''' meaning that for any hypothesis we might
-
fit to the data, there're multiple parameter settings that give rise to exactly
+
fit to the data, there are multiple parameter settings that give rise to exactly
the same hypothesis function <math>h_\theta</math> mapping from inputs <math>x</math>
the same hypothesis function <math>h_\theta</math> mapping from inputs <math>x</math>
to the predictions.  
to the predictions.  

Revision as of 15:23, 11 May 2011

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