Understanding neural networks involves grasping both their capabilities and limitations. Despite their wide use in various applications, there is ongoing debate about whether we truly comprehend the underlying mechanisms that drive their performance and decision-making processes. This article explores the complexities and challenges associated with interpreting neural networks.