Virtual reality (VR) technology allows users to experience a computer-generated, three-dimensional virtual environment that closely resembles the actual world. The use of virtual reality technology in classroom instruction is a direct result of the rapid development and evolution of this field. The use of this new technology in interior design classes has the potential to have far-reaching, unbelievable consequences. It has the potential to make the classroom feel more immersive, which in turn increases student engagement and the quality of instruction. Given this context, it is crucial to assess the impact of virtual reality interactive technology on interior design courses. In order to assess the usefulness of virtual reality interactive technology in interior design classes, this study suggests the improved grey wolf optimisation-deep belief network (IGWO-DBN) network. Before building the improved grey wolf optimisation algorithm, the IGWO-DBN network enhances the classic GWO algorithm. The convergence speed and overall performance of the algorithm can be enhanced by implementing the IGWO algorithm. After that, the IGWO algorithm is employed to make the IGWO-DBN network as efficient as possible by optimising the DBN network's starting settings.