Research and Discussion on Image Recognition and Classification Algorithm Based on Deep Learning

Abstract

Machine learning, as the core of artificial intelligence, is also the fundamental reason for computer intelligence, and has been widely used in the field of artificial intelligence. With the improvement of computer's ability to process data, deep learning has been highlighted in the field of machine learning. More and more researchers have joined in the theoretical research and applied research of deep learning. And image recognition and classification are very important applications. This paper first compares deep learning with traditional machine learning methods, then introduces the development process of deep learning, studies and analyses the network structure of deep learning such as deep belief network, convolution neural network and recursive neural network, expounds the application of deep learning in image recognition and classification, and puts forward the deep learning in image recognition and classification. The problems encountered in the application of recognition and classification and the corresponding solutions are discussed. Finally, the research status of in-depth learning in image recognition and classification is summarized and prospected.