Delving into the intricacies of neural networks often feels like navigating a dense forest. These powerful computational models, celebrated for their ability to replicate human cognition, possess an inherent obscurity known as the "black box." Interpreting this black box is crucial, as it encompasses the secrets to improving network performance and