Delving into the intricacies of neural networks often feels like navigating a dense forest. These powerful computational models, celebrated for their ability to mimic human cognition, possess an inherent mystery known as the "black box." Interpreting this black box is crucial, as it contains the keys to enhancing network performance and developing