loss through the gradient so you have to find out you know how much each of these parameters and the fee network you know as in something like this how much does this parameter the fee network or this parameter contribute to the gradient and then the gradient is what updates the parameters and gives you this new validation loss so you're taking the partial derivative of feet with respect to this gradient through a gradient idea which is a little complicated but you know really an interesting idea with the meta learning and this medicine labels