Abstract
There are several image classification and a complicated methods that are been overlooked with many articles. This article reviews the latest practices, issues, and options for billing classification. Emphasis is placed on synthesizing important advanced category strategies and targeting strategies that can be used to improve ranking accuracy. Billing sorting is a classic problem in image processing, computer vision, and machine learning. In this article, we study deep learning-based image classification using the TensorFlow GPU. Because the datasets were bridges; CIFAR-10 and MNIST FASHION for the classification module. The results show the efficiency and accuracy of deep learning-based image classification using the TensorFlow GPU. Additionally, some critical issues are mentioned that affect overall performance. However, simple research is needed to identify and reduce uncertainties in the image processing chain to improve classification accuracy.
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