Empiricism without Magic - Transformational Abstraction in Deep Convolutional Neural Networks
Author: Cameron Buckner
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Description: Empiricism without Magic - Transformational Abstraction in Deep Convolutional Neural Networks by Cameron Buckner presents a compelling argument for how DCNNs achieve abstraction, bridging AI engineering with philosophical empiricism. It's a valuable read for understanding how neural networks model cognitive processes.
Pages: 40
Megabytes: 0.86 MB
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