Neural networks are computational models inspired by the structure and functioning of the human brain’s interconnected neurons. They consist of layers of interconnected nodes (neurons) organized into input, hidden, and output layers. Each connection between neurons is associated with a weight that adjusts during training to optimize the network’s performance. Neural networks excel at pattern recognition, classification, regression, and other complex tasks.
