Delving into the intricacies of neural networks often feels like navigating a dense forest. These sophisticated computational models, renowned for their ability to replicate 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