Empiricism without Magic - Transformational Abstraction in Deep Convolutional Neural Networks
Author: Cameron Buckner
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Document Details
Title: Empiricism without Magic - Transformational Abstraction in Deep Convolutional Neural Networks
Author: Cameron Buckner
Description: Argues that deep neural networks learn abstract categories much as Locke and Hume said the mind does. A fascinating bridge between classic empiricism and artificial intelligence.
Pages: 41
Size: 0.87 MB
Format: PDF