Abstract

Deep Neural Networks (DNNs) have revolutionized the field of Artificial Intelligence (AI). These networks have enabled machines to learn complex tasks. DNNs are especially useful when the task involves large amounts of data. This is because they can effectively model the non-linear relationships that exist in the data. This allows them to make accurate predictions for previously unseen data. Deep Neural Networks have the potential to become a powerful tool to drive advances in artificial intelligence technologies. They can be used for a variety of tasks such as computer vision, natural language processing, and robotics. As the use of DNNs becomes more commonplace, it is expected that they will play a key role in creating smarter and more advanced Artificial Intelligence systems.