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