you're also committed to this imagenet architecture so like in the paper we sort of studied this further but you know I think like we're meaningful feature reuse is happening if it is happening is really in the lower layers and so one way to get sort of similar speed ups but maybe have a better architecture is like you kind of just reuse some of the weights and then you sort of reinitialize stuff and sort of train that away and this ties into like kind of all kinds of other interesting questions so like there's been this