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{{see also|machine learning terms}} | |||
==Introduction== | ==Introduction== | ||
[[Machine learning]] relies on a [[hyperparameter]] called [[batch size]] which indicates how many [[examples]] should be run before changing internal model parameters. It is the number of examples in a [[batch]]. This number can vary based on both machine memory capacity and the needs of each model and dataset. | [[Machine learning]] relies on a [[hyperparameter]] called [[batch size]] which indicates how many [[examples]] should be run before changing internal model parameters. It is the number of examples in a [[batch]]. This number can vary based on both machine memory capacity and the needs of each model and dataset. | ||
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==Explain Like I'm 5 (ELI5)== | ==Explain Like I'm 5 (ELI5)== | ||
The batch size is a number that instructs the computer how many examples to consider before it changes its interpretation of data patterns. It's like learning your times tables: start with simpler ones (small numbers) and then progress onto more difficult ones (bigger figures). This helps the machine comprehend data more clearly and rapidly. | The batch size is a number that instructs the computer how many examples to consider before it changes its interpretation of data patterns. It's like learning your times tables: start with simpler ones (small numbers) and then progress onto more difficult ones (bigger figures). This helps the machine comprehend data more clearly and rapidly. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | |||