Exercise:Softmax Regression
From Ufldl
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(→Step 0: Initialize constants and parameters) |
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=== Step 0: Initialize constants and parameters === | === Step 0: Initialize constants and parameters === | ||
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| + | We've provided the code for this step in <tt>softmaxExercise.m</tt>. | ||
Two constants, <tt>inputSize</tt> and <tt>numClasses</tt>, corresponding to the size of each input vector and the number of class labels have been defined in the starter code. This will allow you to reuse your code on a different data set in a later exercise. We also initialize <tt>lambda</tt>, the weight decay parameter here. | Two constants, <tt>inputSize</tt> and <tt>numClasses</tt>, corresponding to the size of each input vector and the number of class labels have been defined in the starter code. This will allow you to reuse your code on a different data set in a later exercise. We also initialize <tt>lambda</tt>, the weight decay parameter here. | ||
