Study on deep learning political culture communication system in Universities under the perspective of postmodern media
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Wenjuan Zhu, Feng Wang, Xianping Yu, Yibin Huang, Huajie Sui
With the development of industrialization and computer science and technology, people pay more and more attention to the intelligent industry, big data applications in industry by leaps and bounds, artificial intelligence in various fields show their unique style. In this paper after the modern media from the perspective of Ideological and political culture to establish research study of artificial intelligence network based on the depth of political culture in universities, construct the perspective of postmodern media dissemination system. This paper is based on the MATLAB platform, constructing artificial intelligence after modern media from the perspective of political culture communication system based on its operation is simple, does not require advanced programming background. Based on probabilistic neural network, the colleges and universities from the perspective of modern media thought political and cultural communication system construction, and validation is based on probabilistic neural network artificial intelligence forecasting has good convergence and the ability of fault tolerance and data processing ability.
Artificial intelligence, modern media, ideological and political education, deep learning, neural network.