Empiricism without magic: transformational abstraction in deep convolutional neural networks.

In artificial intelligence, recent research has demonstrated the remarkable potential of Deep Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art performance in new domains weekly, especially on the sorts of very difficult perceptual discrimination tasks that skeptics though...

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Bibliographic Details

Published in:	Synthese Vol. 195; no. 12; pp. 5339 - 5373
Main Author:	Buckner, Cameron
Format:	Article
Published:	Springer Nature Dec2018
Subjects:	Connectionism Convolution codes Deep Learning (Book) Empiricism Abstraction reactions Biological neural networks
Online Access:	View this record in EBSCOhost