Brain tumor is the abnormal growth and proliferation of cells in the tissues of the brain. When a particular gene in a chromosome of a cell is either damaged or is not functioning properly, then an intracranial tumor or growth occurs which is called brain tumor. It can be either benign (non-cancerous) or malignant (cancerous). Conventionally, diagnosis of a brain tumor begins with radiology performed by a specialist on the outpatient; it includes MRI scans followed by analysis of the report and followed by a conclusion; application of computer-aided diagnosis (CAD) for detecting tumors in MRI images is significantly efficient and provides accurate results. Computer-assisted brain tumor diagnosis consists of tumor identification followed by classification. Despite much valuable research in the past availing traditional machine learning methods, still we lack promising result-oriented outcomes which can be considered more reliable and accurate in diagnosis of brain tumor. The current approach is debating toward employing deep learning approaches in the diagnosis of brain tumors. The proposed model achieved a final accuracy of 96.9% for the four different classes of brain tumor.