I am using the pretrained ResNet50 architecture available in fastai to finetune a set of satellite images whose size is 64x64 pixels. Since ResNet50 expects images whose size is 224x224 pixels I would like to know how fastai uses the smaller images to update the model. My data block is
thank you very much for your quick answer. Jonathan’s post makes perfect sense. I compared the same architecture (ResNet50) with a different set of satellite images for finetuning with a shape of 256x256 pixels and the number of parameters doesn’t change at each layer and of course the total is always the same.