Abstract
Machine Learning (ML) is one of the most powerful technologies for tackling a wide range of real-world problems in the fast-paced world of the twenty-first century. Both regular and differently-abled persons benefit from machine learning. The Convolutional Neural Network (CNN) has been proposed for a variety of applications such as multimedia processing and so on. Here in this research paper we have described the way and created a Binary Classification model using CNN for identifying the Paintings and Photographs. Each painting and Photographs have been being warped using various procedures such as a convolutional layer, dense layer, and Flatten layers. The model is used for Binary Classifications. The wrap has been done at random on a large dataset for CNN training. We explore the architecture of CNN affects the accuracy of the identification. The proposed Model aims to increase the efficiency and accuracy of the model.
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Gupta, S., Sharma, H.K., Kapoor, M. (2023). Introduction to Internet of Medical Things (IoMT) and Its Application in Smart Healthcare System. In: Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT) . Springer, Cham. https://doi.org/10.1007/978-3-031-18896-1_2
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DOI: https://doi.org/10.1007/978-3-031-18896-1_2
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