Softmax Regression

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m (Parameterization)
m (Binary Logistic Regression)
Line 190: Line 190:
&=  
&=  
-
\frac{e^{ \Theta_1^T x^{(1)} } }{ 1 + e^{ \Theta_1^T x^{(i)} } }
+
\frac{e^{ \Theta_1^T x^{(i)} } }{ 1 + e^{ \Theta_1^T x^{(i)} } }
\cdot
\cdot
-
\frac{1}{e^{ \Theta_1^T x^{(1)} } }
+
\frac{1}{e^{ \Theta_1^T x^{(i)} } }
\begin{bmatrix}  
\begin{bmatrix}  
e^{ \Theta_1^T x^{(i)} } \\
e^{ \Theta_1^T x^{(i)} } \\

Revision as of 23:26, 7 May 2011

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