@yiwenguo Thanks for your nice sharing!
this work can efficiently compress the number of parameters in LeNet-5 and AlexNet by a factor of 108 and 17.7 respectively. However, I found that the size of pruned models is the same as the original models. Could you please share the code that make the size of pruned model less than original model?
@yiwenguo Thanks for your nice sharing!
this work can efficiently compress the number of parameters in LeNet-5 and AlexNet by a factor of 108 and 17.7 respectively. However, I found that the size of pruned models is the same as the original models. Could you please share the code that make the size of pruned model less than original model?