Over 1.1% of the world's population suffers from schizophrenia. Schizophrenia is a debilitating personality disorder that is marked by mood swings, disorganized thinking, and hallucinations and it often effects the family members of patients as well. When left untreated, schizophrenia can lead to mental health disorders (such as Obsessive Compulsive Disorder) and even severe depression that leads to suicide. Typically, schizophrenia is diagnosed through MRI imaging (the frontal lobes are enlarged) and various blood tests, but applying deep learning algorithms to these fMRI images have proved to be an effective way to detect schizophrenia at an earlier age. While past studies have evaluated the applicability of deep learning on schizophrenia diagnosis, my study aims to find the most effective way to detect schizophrenia through deep learning models.