Hi. Now I plan to apply the pretrained ImageNet model to our own data. Thus fine tuning is necessary to achieve satisfactory performance.

For fine tuning, is it just loading the pretrained model and then adjusting the network architecture to the wanted one, then starting training?

Thanks for any reply!