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HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
Even after pruning the filters from convolutional layers of LeNet-5 drastically (i. e. from 20, 50 to 2, 3, respectively), only a small accuracy drop of 0. 52\% is observed.
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