Neural Networks (theory)

Neural networks are computer systems inspired by the human brain's structure and function. They consist of interconnected nodes, or "neurons," which process and transmit information. By receiving inputs, such as images or text, and adjusting connections (weights) through training, they learn to recognize patterns and make decisions. This learning occurs through multiple layers, allowing the network to understand complex data. Neural networks are used in various applications, including image recognition, language translation, and playing games, making them a foundational technology in artificial intelligence.