A stand-alone machine learned turbulence model is developed and applied for the solution of steady unsteady boundary layer equations, issues constraints associated with are investigated. The results demonstrate that an accurately trained can provide grid convergent, smooth solutions, work in extrapolation mode, converge to a correct from ill-posed flow conditions. accuracy response surface depe...