WeChat Mini Programs Image Recognition System Based on Deep Learning
To improve the image recognition experience of users on mobile devices,design a WeChat mini program image recognition system based on deep learning The overall architecture of the system includes two parts:the WeChat mini program front-end and the back-end server.On the WeChat mini program,users can capture images through the camera or load local images.On the server side,after image preprocessing and target recognition based on deep learning,the recognition results are transmitted back to the WeChat mini program for display through the Application Programming Interface(API)interface.In this paper,CIFAR-100 data set is selected to design and train convolutional neural network for target recognition.The final test results proved the effectiveness of the system.
deep learningconvolutional neural networkWeChat mini programsimage recognition