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, modeled after the human brain. These networks consist of interconnected nodes, each performing simple calculations. By training vast amounts of data to these networks, they

Deep neural networks harness a revolutionary paradigm in artificial intelligence, enabling machines to acquire complex patterns and make intricate decisions. These sophisticated architectures, inspired after the biological brain, consist of layers of interconnected processors. Through extensive training on vast datasets, deep neural networks refine