Abstract
With the rapid progress of economy and globalization, the characteristic culture of universities is inevitably eroded by the strong mainstream culture from outside. The best way to maintain culture is to turn it into goods. Productization can make culture vivid and vivid and circulate in use. Universities are the carrier of education and the progress of excellent culture. Campus culture refers to all tangible and intangible objective existence created artificially and formed for a long time in a specific school environment, which can deeply reflect the characteristics of the school. This article proposes an optimized design scheme for the progress and emotional expression research of campus cultural innovative goods in universities. It constructs the graphics recognition of campus cultural goods through the data mining system and then focuses on the problem of graphics recognition based on DL (deep learning). An enhanced DL model and arithmetic are proposed to enhance the accuracy and efficiency of graphics recognition. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has certain accuracy, which is 10.23% higher than the traditional DL arithmetic. Campus culture can also play a powerful role in emotional edification and personality shaping for teachers, students, and campus workers. Excellent cultural and innovative goods can inherit the history, culture, and spirit of universities and can directly reflect the cultural heritage, characteristics, and graphics of universities. In addition to promoting the precipitation and inheritance of the long history and culture of universities and the spirit of the times, they can also strengthen the cultural exchange and spiritual communication among college level, alumni, teachers, and students, and people from all walks of life in universities, so as to actively promote the cultural and spiritual construction of universities.
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