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IEEE/ICACT20220108 Slide.16        [Big Slide]	Oral Presentation
	Figures 3 and 4 show the classification accuracy for different pruning rates. As can be seen in Figure 3, the 5-layer CNN maintains nearly the same accuracy from no pruning to 90% pruning; however, it sharply decreases when 100% weights are cut off. ResNet-50 also shows a decrease in classification accuracy when pruning 100% weights.

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