through a gradient and in if you're using frameworks like tensorflow PI torch you can utilize automatic differentiation to automatically implement this for you and you don't have to exactly know the math of how say this parameter from x1 input to the hidden state a in the teacher Network gets this lost signal from the student network that is then updated with the gradient of this new label data set and then moved in the direction of the validation loss but the idea the high-level idea and I think maybe visualizing these two networks even