I am using a Mask-RCNN. I first chose the resnet50 backbone then downloaded COCO pre-trained weights.
Why do I need pre-trained weights for transfer learning?
The transfer learning approach is to train a base network and then copy its first layers of the target. My base network is resnet50 and I copied the first layers to Mask RCNN. So, why do I need pre-trained weights, for example, coco pre-trained weights?
I understand that I copy layers and pre-trained weights from resnet.
Thanks in advance.