Using prototypes to improve convolutional networks interpretability
Abstract
We propose a method that allows the interpretation of the data representation obtained by CNN, through introducing prototypes in the feature space, that are later classified into a certain category. This way we can see how the feature space is structured in link with the categories and the related task.
Domains
Neuroscience
Origin : Files produced by the author(s)
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