Deep learning models are revolutionizing numerous fields, from image recognition to natural language processing. However, their inner workings often remain shrouded in mystery, earning them the nickname "black boxes". This lack of transparency creates a challenge for engineers who desire to understand how these complex systems arrive their outputs.