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I downloaded the pretrained model vgg16.npy and tested it on the ImageNet validation set. However I found that the accuracy is not as high as that given on Caffe. I only get 66.9% of Top-1 accuracy...
The text was updated successfully, but these errors were encountered:
I downloaded the pretrained model vgg16.npy and tested it on the ImageNet validation set. However I found that the accuracy is not as high as that given on Caffe. I only get 66.9% of Top-1 accuracy...
The text was updated successfully, but these errors were encountered: