Research on Image Classification, Retrieval and Recognition Technology Based onConvolution Neural Network in Artificial Intelligence Environment

Abstract

With the gradual improvement of deep learning theory, deep learning has been applied to
more and more fields, including image processing, video processing, audio processing
and other fields. Among them, Convolution Neural Network (hereinafter referred to as
CNN) is an important network model in deep learning, which is different from the
traditional Neural Network (hereinafter referred to as NN), mainly introduces the
concepts of convolution layer and pooling layer. With the rapid development of
information technology in China, a large number of images are collected and used in
modern applications, which is an important application way in artificial intelligence
environment. However, the traditional image processing methods can’t meet the needs
of modern image classification, retrieval and recognition, which requires us to use
modern information technology to achieve automatic classification and retrieval. By
effectively mining image information, we can improve the management efficiency.
Through the research of CNN, image classification retrieval and recognition technology
gradually use the theory, which has gradually played an important role. Through CNN,
we can better introduce into the field of image processing, which will improve the effect
of better classification retrieval model