Construction of intelligent visual design system based on convolutional neural network under the background of big data

Abstract

In recent years, artificial intelligence has been initially applied to the visual design process, which has had a certain impact on the traditional design methods and working modes. Through the analysis of the working principle of the key technology of artificial intelligence design, the generation antagonism network (GAN), this paper summarizes the advantages and limitations of the existing automatic design methods, and puts forward the transformation path and specific methods of visual design working mode oriented to automation design efficiency optimization and new technology application form innovation under the background of new technology. With the rapid development of cloud computing and artificial intelligence, there are more and more applications in the cloud based on artificial intelligence as a service. Among them, artificial intelligence based on convolutional neural network is widely used. Convolution neural network endogenous control is the first fusion of endogenous security ideas in deep neural network model security control. Based on the core operation structure of convolutional neural network, the key control points of the endogenous control model are proposed; By tightly coupling the endogenous control unit at the control point, a convolutional neural network endogenous control model is designed and proposed.