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Epoch: Difference between revisions
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Machine learning epochs are like playing a memory game. You have cards with pictures on them and try to match them all together - each attempt at matching all of the cards is known as an epoch. The more times you play the game (more epochs), the better at it you become; however, playing too often could lead to mastery over old cards and lead to mistakes when dealing with new ones. Thus, it is essential that you stop playing at an appropriate point so that both old and new cards remain balanced. | Machine learning epochs are like playing a memory game. You have cards with pictures on them and try to match them all together - each attempt at matching all of the cards is known as an epoch. The more times you play the game (more epochs), the better at it you become; however, playing too often could lead to mastery over old cards and lead to mistakes when dealing with new ones. Thus, it is essential that you stop playing at an appropriate point so that both old and new cards remain balanced. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||