Delving into the mysteries of neural networks often feels like navigating a obscure 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 holds the insights to optimizing network performance and con