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Deep model: Difference between revisions
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A deep model is a type of computer program that attempts to learn from [[examples]]. For instance, if you wanted your robot to know the difference between dogs and cats, showing it lots of pictures would help it uncover what makes each unique. A deep model works like an intricate brain with many layers, looking at pictures over and over again in order to change its neurons' connections between neurons so it becomes better at distinguishing dogs and cats. | A deep model is a type of computer program that attempts to learn from [[examples]]. For instance, if you wanted your robot to know the difference between dogs and cats, showing it lots of pictures would help it uncover what makes each unique. A deep model works like an intricate brain with many layers, looking at pictures over and over again in order to change its neurons' connections between neurons so it becomes better at distinguishing dogs and cats. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||