Neural Network Algorithms

Neural network algorithms are computer systems inspired by the human brain, designed to recognize patterns and make predictions. They consist of interconnected units, or "neurons," that process information in layers. When fed data, these networks learn from examples by adjusting connections to improve accuracy over time. Commonly used in image recognition, language processing, and recommendation systems, neural networks excel in tasks that require understanding complex relationships within data. Their ability to learn and adapt makes them a powerful tool in artificial intelligence, driving innovations across various fields.