Metasurfaces, ultrathin 2D structures, have drawn considerable attention in recent years due to their applications in many fields. The metasurface is a subwavelength‐engineered structure with unique electromagnetic properties and exceptional light‐matter interac‐ tions. Recent research indicates that metasurfaces are a good fit for studying the polar‐ ization conversion of electromagnetic waves. In search of polarization conversion to any arbitrary angle, we have considered taking advantage of deep learning to investigate the field thoroughly. In recent years, the contribution of deep learning in optics and photon‐ ics has been undeniable. This work presents a neural network miming a conventional numerical simulator like Ansys Lumerical FDTD.