Duke team disentangles neural networks to understand how they see the world (IMAGE)
Caption
New research offers clues to what goes on inside the minds of machines as they learn to see. A method developed by Cynthia Rudin's lab reveals how much a neural network calls to mind different concepts as an image travels through the network's layers.
Credit
Courtesy of Zhi Chen, Duke University
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Please credit Zhi Chen, Duke University
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