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Convergence: Difference between revisions
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Like when you keep tasting a soup and adding ingredients until it's just right, and then there is no need for further adjustments. The model acts like that soup, and convergence occurs when it has learned everything necessary and can make accurate predictions without needing further adjustments. | Like when you keep tasting a soup and adding ingredients until it's just right, and then there is no need for further adjustments. The model acts like that soup, and convergence occurs when it has learned everything necessary and can make accurate predictions without needing further adjustments. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||