Exercise:Self-Taught Learning
From Ufldl
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===Step 4: Training and testing the logistic regression model=== | ===Step 4: Training and testing the logistic regression model=== | ||
| - | + | Use your code from the softmax exercise (<tt>softmaxTrain.m</tt>) to train a softmax classifier using the training set features (<tt>trainFeatures</tt>) and labels (<tt>trainLabels</tt>). | |
===Step 5: Classifying on the test set=== | ===Step 5: Classifying on the test set=== | ||
| - | Finally, complete the code to make predictions on the test set (<tt>testFeatures</tt>) and see how your learned features perform! If you've done all the steps correctly, you should get an accuracy of about '''98%''' percent. | + | Finally, complete the code to make predictions on the test set (<tt>testFeatures</tt>) and see how your learned features perform! If you've done all the steps correctly, you should get an accuracy of about '''98%''' percent. |
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| + | As a comparison, when ''raw pixels'' are used (instead of the learned features), we obtained a test accuracy of only around 96% (for the same train and test sets). | ||
[[Category:Exercises]] | [[Category:Exercises]] | ||
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