Construction of Art Resource Platform Based on Distributed Pattern Recognition SoC Deep Learning Algorithm

With the rapid development of the Internet, when this traditional art meets the digital way of information communication, when the new form of communication mode and the era of media show, the space of Internet art has been filled and expanded by leaps and bounds. This article aims to build an art resource platform based on the distributed pattern recognition state of charge (SoC) deep learning algorithm. First, the research background and significance of the construction of art resource platform are summarized. Second, the architecture mode and style are introduced from the perspective of the concept and classification of pattern-oriented distributed software architecture and pattern. Second, it analyzes the inevitability of network integration of art resources and SoC deep learning algorithm. Finally, the art resource platform of distributed architecture is designed and the bundles of distributed system are dynamically updated. Test results show that the response result is given approximately 530 ms after the request is submitted, the renewal request is sent approximately 21 s, and the service update is completed approximately 4 s after the request for renewal request, and the response pauses during this time. The updated performance result is also more stable, and the output effect is restored once in about 530 ms. This indicates that the performance effect of the platform service application is very stable.