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Clipping: Difference between revisions
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Clipping is a technique we use in machine learning to prevent the computer from making too many changes at once, similar to placing limits on how quickly it can alter things. This helps ensure that computers learn slowly and avoid making costly errors. | Clipping is a technique we use in machine learning to prevent the computer from making too many changes at once, similar to placing limits on how quickly it can alter things. This helps ensure that computers learn slowly and avoid making costly errors. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||