Publications on Neural Networks

Publications on neural networks are scientific articles or papers that share research findings about artificial neural networks, which are computational models inspired by the human brain. These publications explore how neural networks learn, improve, and are applied to tasks like image recognition, language processing, and decision-making. They help scientists and engineers understand new techniques, solve problems, and develop smarter, more efficient AI systems. Essentially, these publications advance our knowledge about how neural networks function and how they can be used to improve technology across various fields.