approaches a lot of different things that we could do here but one very successful form of prior knowledge that we've seen in deep learning for example is using is training from an initialization provided by another data set and in particular what we seen is if we train on things like image and then fine-tune that model on other data sets were able to capture a lot of the rich information and supervision that's exists in the image that data set and use it for new tasks so this is a very successful form of prior knowledge