Research on Application of Deep Learning Algorithm in Image Classification
Zhiping Wang, Cundong Tang, Xiuxiu Sima, Lingxiao Zhang
Abstract
Image classification is an important research direction in the field of computer vision. Image classification algorithm can distinguish different kinds of pictures by classifying the features extracted from the original pictures. In essence, deep learning is actually the technology of simulating and analyzing the human brain through the construction of deep neural network, or learning and interpreting related data by simulating the human brain. As an important information carrier, image has become an important form for people to acquire and transmit information. For massive images, the number of images that each user really needs is very small, so it is of great significance to find the images that users need within the effective time. Based on this, this paper analyzes the research and application of deep learning in image recognition, hoping to further enhance the application effect of deep learning and make it play a greater role in the field of image recognition.