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A Survey on Artificial Intelligence Image Recognition Method based on Convolutional Neural Network Algorithm

Najmusher H, Ishan Pal, Aagato Mallick, Aniket Roy Choudhury, Aalia Munaveer

Abstract


The process of identifying an object or feature in an image or video is based on image recognition. It is used in various contexts, including flaw identification, imaging in the medical field, and security surveillance Convolutional neural networks have been widely employed in the field of image processing as high-performing algorithms that produce outstanding results by utilizing their own local receptive fields, weight sharing, pooling, and sparse connections. This project suggests a new convolutional neural network algorithm, which is also a component of Artificial Intelligence & Machine Learning, in order to increase the convergence speed and recognition accuracy of the convolutional neural network method. In this research, we demonstrated how to identify when it comes to image processing using the convolutional neural network technique.


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References


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