The Impact of Short Video Live Broadcast on the Sales of Sports Machinery and Equipment

Abstract

This paper proposes a neural network model based on deep learning, which can better analyze the impact of short video live broadcast on sports machinery and equipment. Firstly, this paper proposes a U-Net-based convolutional neural network as the backbone network of this paper, which mainly realizes the impact of short video live broadcast on sales. Secondly, this paper proposes a dense residual module based on the Transformer lightweight module, which can effectively improve the global modeling ability of the network model and improve the prediction accuracy of the network model. Finally, through a large number of experiments, it is proved that the convolutional neural network based on U-Net proposed in this paper can be better used for the task of short video live broadcast for the sales of sports machinery and equipment, and achieves better prediction accuracy and reasoning speed.