The image classification is a classical problem of image processing, computer vision and machine learning fields. Image classification is a complex procedure which relies on different components. In this paper we study the image classification using deep learning. computer vision science, image classification implementation, and deep neural networks are presented. This article discusses The development of a Convolutional Neural Network (CNN) and its various architectures, which have shown great efficiency and evaluation in image classification. A literature review is conducted to illustrate the significance and the details of Convolutional Neural Networks in various applications.
Hassan, A., Refaat, M., & Hemeida, A. (2022). Image classification based deep learning: A Review. Aswan University Journal of Sciences and Technology, 2(1), 11-35. doi: 10.21608/aujst.2022.259887
MLA
Aya Hassan; Moatamed Refaat; Ashraf M Hemeida. "Image classification based deep learning: A Review", Aswan University Journal of Sciences and Technology, 2, 1, 2022, 11-35. doi: 10.21608/aujst.2022.259887
HARVARD
Hassan, A., Refaat, M., Hemeida, A. (2022). 'Image classification based deep learning: A Review', Aswan University Journal of Sciences and Technology, 2(1), pp. 11-35. doi: 10.21608/aujst.2022.259887
VANCOUVER
Hassan, A., Refaat, M., Hemeida, A. Image classification based deep learning: A Review. Aswan University Journal of Sciences and Technology, 2022; 2(1): 11-35. doi: 10.21608/aujst.2022.259887
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