Deep learning employs revolutionized diverse fields by leveraging powerful techniques. At its core, deep learning relies on complex neural networks, architectures inspired by the human mind. These networks include interconnected neurons organized in strata, each processing specific functions. By conditioning these networks on vast volumes of data,

Deep learning models are revolutionizing diverse 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 presents a challenge for developers who seek to understand how these complex systems arrive their outputs.