Delving into the complexities of neural networks often feels like navigating a dense forest. These sophisticated computational models, renowned for their ability to simulate human cognition, possess an inherent obscurity known as the "black box." Unraveling this black box is crucial, as it encompasses the keys to optimizing network performance and