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Depth in machine learning refers to the number of layers a computer program can learn through. Much like we learn by taking small steps, computers learn by going through many layers until they become adept at things like recognizing pictures or understanding words. The more layers a program has, the greater its capacity for mastery; however, having too many can make learning difficult so people have come up with ways to facilitate faster progress. | Depth in machine learning refers to the number of layers a computer program can learn through. Much like we learn by taking small steps, computers learn by going through many layers until they become adept at things like recognizing pictures or understanding words. The more layers a program has, the greater its capacity for mastery; however, having too many can make learning difficult so people have come up with ways to facilitate faster progress. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||