Abstract
Abstract: Alzheimer's disease is a neurodegenerative condition that has a aging population. Early diagnosis and intervention are critical. A valuable tool for the detection .This research aims to develop a deep learning-based approach for the automatic recognition in MRI images. In this study, architecture is employed to extract meaningful features from MRI images. Alzheimer's and non-Alzheimer's MRI images is utilized. The proposed deep learning approach in Alzheimer's disease recognition. The model achieves a high level of accuracy, sensitivity, and specificity in classifying MRI images. Potential to assist medical professionals in the early diagnosis and monitoring of Alzheimer's disease, ultimately contributing to improved patient care and outcomes
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