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@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?
The text was updated successfully, but these errors were encountered:
Actually it's pruning, set unimportant params to 0. One can use CSR/CSC format to storage the params. But for further usage, you will need to think twice.
@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?
The text was updated successfully, but these errors were encountered: