Self-Taught Learning
From Ufldl
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a large collection of random images downloaded off the internet. This latter | a large collection of random images downloaded off the internet. This latter | ||
setting, in which the unlabeled data (random internet images) may be drawn from | setting, in which the unlabeled data (random internet images) may be drawn from | ||
| - | a different distribution than the labeled data, is called the '''self-taught | + | a different distribution than the labeled data, is called the |
| - | learning''' setting. In the self-taught learning setting, it is far easier to | + | '''self-taught learning''' setting. In the self-taught learning setting, it is far easier to |
obtain large amounts of unlabeled data, and thus leverage the potential of | obtain large amounts of unlabeled data, and thus leverage the potential of | ||
learning from massive amounts of data. | learning from massive amounts of data. | ||
