place where transfer learning does provide some benefits some convergence benefits but in a scheme where like the the source and target distribution are extremely different from each other and so just understanding better what might be happening there and maybe saying something formal there could also be very interesting and with that thanks for thanks for coming [Applause] oh yeah absolutely I mean like honestly if you look at how much how long you train rent from random initialization versus training on imagenet plus