when we train them on image net these architectures actually perform horribly they're not designed for image net in a way that I can sort of explain offline but when we look at how they do on the medical talk they're actually really within sort of ballpark performance of each other oh these architectures they're just um they're just like a family of simple vanilla convolutional networks yeah we kind of just made them up just because like we wanted something extremely simple and I can explain why sort of like you're sort of seeing this