File:Overfitting.png

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English: Overfitting (for example in neural networks training). The red curve is the error on the validation set over several epochs. The blue curve is the error of the training set. When the error for the validation set increases while the training error steadily decreases then a problem of overfitting may occur (the learning is too specialized and does not generalize enough)
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Author Dake~commonswiki

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GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License.
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current23:23, 10 August 2005Thumbnail for version as of 23:23, 10 August 20051,220 × 900 (45 KB)Dake~commonswiki (talk | contribs)Overfitting (for example in neural networks training). The red curve is the error on the validation set over several epochs. The blue curve is the error of the training set. When the error for the validation set increases while the training error steadily

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