Deep Neural Networks

Deep Neural Networks (DNNs) are complex computer systems inspired by the human brain, designed to recognize patterns and make decisions. They consist of layers of interconnected nodes (neurons) that process information in stages. Each layer transforms data, gradually extracting features, much like how we learn from experience. DNNs are used in various applications, including image recognition, natural language processing, and recommendation systems. Their ability to learn from vast amounts of data allows them to perform tasks with high accuracy, but they require significant computational power and large datasets to train effectively.