DNN (Deep Neural Networks)

A Deep Neural Network (DNN) is a type of computer program inspired by the human brain's structure, designed to recognize patterns and make decisions. It consists of layers of interconnected nodes (like virtual neurons) that process data by passing information forward, learning to identify complex features over time. Through training on large datasets, DNNs improve their ability to classify images, understand speech, or predict outcomes, effectively "learning" from examples. They are fundamental to many artificial intelligence applications, enabling machines to perform tasks that typically require human judgment.