Review of Deep Learning Models for Image Classification Based on Convolutional Neural Networks

Using neural network model for classification has always been a very important research direction. With the development of deep learning technology, the requirement for neural network model is getting higher and higher. At the same time, high recognition rate, the number of parameters and training time of the model are also highly required. Convolutional neural networks have always been the mainstream method for image classification in deep learning. This paper mainly introduces the development history of convolutional neural networks for classification model, and analyzes the construction ideas of each model at different stages. Secondly, the paper reviews relevant examples of Transformer combined with convolutional neural networks as well as the application of each model in other fields. Finally, the possible development directions of convolutional neural networks are discussed. © 2025 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.