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Your question is confusing, it might be that you are using “feature” in an ML sense and the quote refers to human describable distinctions we know about? But I
by oogabooga123 5y ago
Your question is confusing, it might be that you are using “feature” in an ML sense and the quote refers to human describable distinctions we know about? But I still don’t know how to parse your question.
The model can predict male vs female retinas but they don’t understand why. What exactly are you asking?
- TaylorAlexander 5y agoML models have layers, and neurons in a given layer detect “features” in the image or in the previous layer. So yes I believe the person meant which structures in the image are activating the network. Which is a well studied area so it is surprising the authors didn’t explore that.