Construction of Digital Media AI Intelligence Based on Deep Learning and 5G Network Technology

Digital media art utilizes digital technologies such as artificial intelligence, big data, and 5G networks to analyze user habits and design and manufacture personalized and humanized products that meet user needs and preferences. This article combined deep learning and 5G network technology to apply it to the intelligent construction of digital media AI (Artificial Intelligence) to address the efficiency issues of traditional digital media. A deep learning model architecture including neural network architecture and parameter settings was established. The computing resources provided by 5G networks were utilized to train and optimize the built models, improving their accuracy and generalization performance. This article took video data as an example, improved deep learning and 5G network technology, and compared and analyzed them with traditional algorithms. The accuracy of traditional methods for video content recognition was 0.70, and the accuracy of video content classification was 0.65; the accuracy of video content recognition for deep learning+5G (optimization algorithm 2) was 0.92, and the accuracy of video content classification was 0.87. The video data analysis test fully demonstrated the advantages of deep learning and 5G network technology in the construction of digital media AI intelligence.