Neural networks, renowned for their impressive ability to mimic biological processes, often present themselves as enigmatic black boxes. Their nuances lie hidden within a labyrinth of entangled nodes, making deciphering their decision-making mechanism a difficult task. However, recent advances in

Deep neural networks embody a revolutionary paradigm in artificial intelligence, enabling machines to learn complex patterns and perform intricate decisions. These powerful architectures, structured after the biological brain, consist of layers of interconnected processors. Through intensive trai