Good Afternoon,
Looking around ANSWER and exploring GOOGLE GROUPS i found this method by Dr. Greg Heath to define a valid training goal for the MSE performance function:
[I,N]=size(x);[O,N]=size(t);MSE00a=mean(var(t,0,2)); Ntrn=floor(0.7*N); Hub=floor((Ntrn-O)/(I+1+O));MSEgoal=0.01*(Ndof/Ntrneq)*MSE00a;
And i was wondering if there is a similar method to set a Crossentropy reference goal for neural net performance, since i want to experiment different type of loss functions in order to get the best results.
King Regards,
Best Answer