facenet
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Degradation of validation accuracy
Hi,
I have pruned 5% of filters from the facenet model having least l1 norm and calculated the validation accuracy for pruned model on lwf dataset, i am getting 6%
In order to resolve this i assigned zero to the pruned filters and did not prune those filters, with this change i am getting 96% vaidation accuracy.
When i compared the weights of these two models they are matching but the validation accuracy is different
Can u please help me with this
Regards Sheethal