Neural networks, lauded for their impressive ability to mimic cognitive processes, often appear as enigmatic black boxes. Their intricacies lie hidden within a labyrinth of interwoven nodes, making deciphering their decision-making mechanism a daunting task. However, recent developments in computational learning have shed light on the inner working

Deep neural networks represent a revolutionary paradigm in artificial intelligence, enabling machines to master complex patterns and generate intricate decisions. These advanced architectures, modeled after the biological brain, consist of units of interconnected processors. Through profound training on vast datasets, deep neural networks refine th