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This article describes a qualitative study to unpack the internal workings of convolutional neural networks with the aim of visualizing information in the fundamental blocks of a standard network with serial crystallography data. Moreover, the study highlights region(s) or part(s) of an image that mostly contribute to a hit or miss prediction.
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