ISSN: 2643-6000
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Review Article Pages 87-94
Abstract: The success of deep neural networks is impressive, but the behavior of machines is far from mirroring the behavior of humans. Among the most widely acknowledged differences are (1) The time course of learning and the need for big data; (2) The task specificity (artificial networks are unable to build some general competence which could be at least partially transferred to tasks presenting certain analogies for humans) and (3) The type of errors (the errors of deep
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