Exercise:Self-Taught Learning
From Ufldl
(→Step 5: Classifying on the test set) |
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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. | ||
- | + | 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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