part of captures an interesting sort of regime in of performing transfer learning so here your source and your target tasks are extremely different to each other like the data is different the actual tasks you're going for is different and as we'll see later there are still some benefits that that come up so sort of understanding why that happens I think is sort of very interesting to to explore from a purely principled angle okay so in this talk so first we'll do a quick sort of performance evaluation of transfer just