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Deep Problems with Neural Network Models of Human Vision

2022-04-13

Abstract excerpt

<p>Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying o...

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Literature Corpus work
0d11daf8-2490-5730-8f74-1b48744b040f
DOI
10.31234/osf.io/5zf4s
Open publication

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Deep Problems with Neural Network Models of Human VisionDOI 10.31234/osf.io/5zf4s
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