A leading cause of death and disability worldwide is stroke that poses a serious threat to public health. When a blood vessel bursts or becomes blocked, the brain loses its supply of blood, resulting in a cerebro-vascular event. The two main stroke types are hemorrhagic-stroke, which is caused by a break in a blood vessel, and ischemic-stroke, which is caused by an arterial obstruction. Stroke can have catastrophic aftereffects, frequently resulting in permanent impairment of motor function, cognitive function, and speech. Significantly increasing the risk of stroke is because of sedentary lifestyle, hypertension, smoking and diabetes. This work examines the efficacy of Squeeze-Net and AlexNet model-based stroke classification.