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Found 2 papers, 1 papers with code
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Through qualitative and quantitative analysis, we demonstrate that SGLRP can successfully localize and attribute the regions on input images which contribute to a target object's classification.
How do Convolutional Neural Networks Learn Design?
We use LRP to explain the pixel-wise contributions of book cover design and highlight the design elements contributing towards particular genres.
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