Image classification and recognition has always been a key issue in the field of computer vision. Not only has it achieved great development, but its research space has broad prospects. This paper first explains the advantages and disadvantages of the traditional image classification methods, and then introduces the development on the neural network model. The algorithm proposed in this paper is mainly based on the LeNet-5 network, and the experiment is performed on the CIFAR-10 dataset. The improved neural network is superior to original model in classification accuracy.
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