Deep learning has revolutionized diverse fields by leveraging powerful techniques. At its core, deep learning relies on complex neural networks, architectures inspired by the human nervous system. These networks include interconnected nodes organized in levels, each processing specific tasks. By educating these networks on vast volumes of data, we

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