Neural networks consist of layers of interconnected nodes, called neurons, where each connection represents a weight that adjusts as learning proceeds. The architecture commonly includes an input layer, one or more hidden layers, and an output layer. Neural networks are capable of learning from existing data and making predictions or classifications without being explicitly programmed to perform specific tasks. They are widely used in areas such as image recognition, natural language processing, and game playing.