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by argonaut
3026 days ago
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It's not an interesting question whether networks learn abstractions. It's almost tautological - an image classification network will by definition (attempt to) distill an image into a distribution over categories. So when people criticize abstraction I think they are really criticizing the quality of the abstraction... Because the key phrase in the grandparent post is "really represent or mean." Grass + white strands = sheep, is a hierarchical abstraction, but it's a bogus one. Feature visualizations do not answer this more relevant question. |
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