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In this paper we introduce a tool called Principal Image Sections Mapping -PRISM, dedicated for PyTorch, but can be easily ported to other deep learningframeworks. Presented software relies on Principal Component Analysis tovisualize the most significant features recognized by a given ConvolutionalNeural Network. Moreover, it allows to display comparative set features betweenimages processed in the same batch, therefore PRISM can be a method wellsynerging with technique Explanation by Example.

TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization