test data point and it's producing a prediction for the test data point it turns out that you can view the optimization based approach in the same general form so before we were using like a recurrent neural network to represent this function but now we're using what I'll denote as F mammal to represent this function and that is the function with parameters Phi that takes an X tests and produces a prediction where Phi is defined as the initial meta parameters plus gradient descent on the data point and so essentially you can