Deep convolutional neural networks are not mechanistic explanations of object recognition.
Given the extent of using deep convolutional neural networks to model the mechanism of object recognition, it becomes important to analyse the evidence of their similarity and the explanatory potential of these models. I focus on one frequent method of their comparison—representational similarity an...
| Published in: | Synthese Vol. 203; no. 1; pp. 1 - 29 |
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| Format: | Article |
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Springer Nature
Jan2024
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| Online Access: | View this record in EBSCOhost |