Deep learning, a subfield of machine learning, has emerged as a transformative force in artificial intelligence. At its core lies the intricate architecture of neural networks, inspired by the human brain. These networks consist of interconnected neurons, each performing elementary calculations. By training vast amounts of data to Deep Learning the

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