Research on Deep Learning Programming Methods and Systems Based on Digital Mirror Platforms

This paper introduces a deep learning programming method and system based on a digital mirror platform. It involves several key steps: acquiring equipment operation data from various terminal equipment across diverse business processes, including the process numbers of each suboperation. We then compare and analyze the data modeling of this equipment operation data from different terminal equipment. Based on the analysis results, we determine if the terminal equipment requires upgrading or optimization.