Abstract
Among all the sectors educational sector plays major role which is used to increase training by observing understudies execution and endeavoring to comprehend the understudies' learning. By collecting marks from the students toward the finish of the semester, at any point they have the issue of not profiting the understudies that have officially taken the course. To get advantage for the present students an input ought to be given progressively and tended to continuously. This would empower understudies and instructors to address educating and learning issues in the most valuable manner for the understudies. Dissecting understudies' execution utilizing information mining strategies can distinguish the understudies' sure or negative actualities, or significantly progressively refined exhibitions, that understudies have towards the present educating. In this paper this we examine a student’s performance act by considering profound learning procedure calculations CNN.
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Kumar, S. G., & Reddy, G. H. (2019). Prediction of education performance using deep learning. International Journal of Innovative Technology and Exploring Engineering, 8(7), 361–364.
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