teacher network parameterised by phi is again taking the same training data set and then produce a pseudo label distribution and then the student network is going to try to fit this label distribution that was produced by the teacher network so it's going to do back propagation using the cross entropy loss function between the predictions from the student Network y-prime and then these pseudo labels Q Phi of X so it's going to back prop this and then update the parameters to theta T plus 1 so now these new parameters that have