Submitted by tsgiannis t3_10f5lnc in deeplearning
tsgiannis OP t1_j4uukd9 wrote
Reply to comment by XecutionStyle in Why a pretrained model returns better accuracy than the implementation from scratch by tsgiannis
What exactly do you mean ...by "fixing weights" ?
The pretrained carries the weights from ImageNet and that's all .. if I unfreeze some layers it will get some more accuracy
But the "from scratch" starts empty.
XecutionStyle t1_j4v0dui wrote
When you replace the top layer and train the model, are the previous layers allowed to change?
tsgiannis OP t1_j4v447x wrote
No changes on the pretrained model besides removing the top layer.
I am aware that unfreezing can cause either good or bad results
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