First of all, ty for your advice.
I would have no problem with removing them before saving if that would work.
I want to add a fully convolutional net on top of the feature extracting part of the pretrained vgg net. That I can do image segmentation. I already found something like this on GitHub. (here 16) In this case the author uses a pretrained vgg net with out the fc layers as base. I tried this implementation with my own dataset with out success. The results are not as expected.
I think the problem is that the pretrained vgg model does not fit that good for my specific case (Segmentation of PCBs). Therefore I have trained my own vgg net that can classificate different parts of a PCB. (Coil, Microchip…) And that pretrained vgg net I want to us now as base for the fully convolutional net and try if I can reach better results.