Research and Implementation Of Image Recognition of Tea Based on Deep Learning

With the advent of the Internet era, deep learning technology is developing rapidly in a wide range of application scenarios. As one of the main research methods of deep learning, convolutional neural network is widely used in the field of image recognition[5]. This paper hopes to build a modern intelligent tea image recognition system by combining in-depth learning technology, so as to help inherit traditional Chinese culture. The main work of this paper is as follows: (1) Making a sample data set containing about 49000 pictures; (2) Constructing convolution neural network; (3) The correct rate of training image recognition model is 96%; (4) Realize tea picture recognition; (5) Build the web page. Under the framework of tensorflow, the program of this subject realizes the tea picture recognition function by training convolution neural network[5][6], and builds it in the beautiful web page, so that the tea culture can be presented and spread in a more modern form, which is conducive to the inheritance and development of Chinese traditional culture.