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Exp3: Compress Deep Neural Network With Pruning

Please refer to exp3 requirements for more details.

Download work_dir here, which contains training logs, json files and .pth files.

In this experiment, I only use ResNet9 and VGG13_bn trained in exp2.

Folder structure is the same as exp2.

Results:

  • ResNet9 The feature maps of the last conv layer:

    Test accuracy change with respect to pruned neuron numbers:

  • VGG13_bn The feature maps of the last conv layer:

    Test accuracy change with respect to pruned neuron numbers:

Analysis is in the exp3_report.