basically adapt it to the nuances of your data set but it will have learned most things already and that's called representation learning so the goal is to learn a good representation now this self supervise here is also important because representation learning can be as easy as if this here is image net the image net data set contains like a million images all with labels you can simply train your ResNet 50 to predict the class this is the this is called supervised pre training or supervised representation learning and that works