In the first week’s videos, the lecturer says:
"training the network with a 32 by 32 image directly will produce very poor results.
So to obtain a better performing model we’ll upscale the images to 224 by 224 before sending these as inputs into the resnet 50 layer object "
does he mean in general, training on larger image produce a better result? or he just means for this particular example, 224*224 is better since it has been pre-trained on images of this size?