such that Phi equals F theta D train is good for D test so for every task I you want to read in D train I and be good for D test I which means that we can write down the meta learning problem formulation like this theta star is the Arg max for the sum over all of your tasks of log P Phi I given D test I where Phi I is equal to F theta apply to D train so notice that we get 5 from D train but we met a train on D test we can also represent this with a graphical model so if you're into graphical models here's a