I've started implementing a fast-rcnn in TF (VGG16 based). While doing my learning, I'm having memory issues if I try to back propagate over all layers. But test works good though. (I have a Gforce GTX 1060 with 6G of ram)
I was wondering how comes ? does TF saves require saving parameters twice for training ?