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Article

Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity

2020-09-05

Abstract excerpt

<p>Now published as: https://www.cell.com/patterns/fulltext/S2666-3899(21)00203-8 Deep neural networks (DNNs) can resolve real-world categorization tasks with apparent human-level performance. However, true equivalence of behavioral performance between humans and their DNN models requires that their internal mechanisms process equivalent features of the stimulus. To develop such feature equivalence, our methodolog...

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Literature Corpus work
863e50f1-2868-53e6-a2f4-cfc04b1126e7
DOI
10.31234/osf.io/jv3r2
Open publication

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Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identityDOI 10.31234/osf.io/jv3r2
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