course also concatenate and use a fully connected network although these are the approaches on this slide tend to be a bit more scalable I think it's on hello hi um so this might be related to the few previous slide so I I'm trying to understand the difference between meta learning and they're learning to learn framework by Jonatan vector of the T / posts around 1990s so I think if I understand correctly the the basic idea of learning to learn is that you're trying to learn the inductive bias of the learning