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Model Prune

本项目使用微软的NNI进行模型剪枝

原本模型的结构及参数: img.png img.png

模型剪枝后的结构及参数: img.png img.png

准确率对比:(进行了修改,提高了epoch以及略微降低稀疏度)

对比:

参数量由原本的33834降低到3293。 参数占用内存由原本的0.14MB降低到0.01MB。 性能从最高63.9%降到最高53.84%,可能是由于网络结构过于简单所致,后续进行深入探究

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