Neural networks are the backbone of deep learning, a subset of machine learning that models algorithms after the human brain. These networks are composed of layers of interconnected nodes or “neurons” that process data and learn to perform specific tasks. The depth of these networks—referring to the number of layers between input and output—is crucial … Read more