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Early stopping: Difference between revisions
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Early stopping is a technique used to stop training a computer program when it becomes too adept at remembering what it has already seen and not good at predicting new information. It's like practicing riding your bike without your mom telling you to stop, so as not to get hurt. When the computer program gets too proficient in what it already knows, it may not be capable of learning new things; thus, early stopping helps the program be equally proficient at both what it already knows and what it will discover. | Early stopping is a technique used to stop training a computer program when it becomes too adept at remembering what it has already seen and not good at predicting new information. It's like practicing riding your bike without your mom telling you to stop, so as not to get hurt. When the computer program gets too proficient in what it already knows, it may not be capable of learning new things; thus, early stopping helps the program be equally proficient at both what it already knows and what it will discover. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||