How can a MLP learn? We know only the random sample (xi,Y)and the vector error Y-N(X) OMSE △m,k）=-c4am, aSE(k) Am(k)=-Cx my Y-N(XHow can a MLP learn? ◼ We know only the random sample (xi ,Yi ) and the vector error Yi -N(Xi ) ij ij k m m k c    = − MSE ( ) ij ij k m k m k c    = − SE( ) ( ) Xi Yi-N(Xi)