The inverse scattering problems (ISPs) aim for reconstructing the unknown targets from the measured scattered fields. Due to its highly nonlinear and ill-posed properties, solving ISPs is a challenging task. In this paper, a new deep learning technique is investigated to improve the solution of electromagnetic inverse scattering problems (ISPs).