Delving into the intricacies of neural networks often feels like navigating a dense forest. These sophisticated computational models, renowned for their ability to mimic human cognition, possess an inherent obscurity known as the "black box." Interpreting here this black box is crucial, as it contains the insights to optimizing network performance