Exercise:Softmax Regression
From Ufldl
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In this problem set, you will use [[softmax regression]] on pixels to classify MNIST images. However, since you will also be using softmax regression for the [[Self-Taught Learning]] exercise later, your implementation should be a more general implementation that works on any arbitrary input. | In this problem set, you will use [[softmax regression]] on pixels to classify MNIST images. However, since you will also be using softmax regression for the [[Self-Taught Learning]] exercise later, your implementation should be a more general implementation that works on any arbitrary input. | ||
| - | In the file <tt>[http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]</tt>, we have provided some starter code. You should write your code in the places indicated by "YOUR CODE HERE" in the files. | + | In the file <tt>[http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]</tt>, we have provided some starter code. You should write your code in the places indicated by "YOUR CODE HERE" in the files. You will need to modify <tt>softmaxCost.m</tt> and <tt>softmaxPredict.m</tt> for this exercise. |
=== Step 0: Initialise constants and parameters === | === Step 0: Initialise constants and parameters === | ||
