A model composed of layers of interconnected nodes that learn to map inputs to outputs through training.
Friendly Description: A neural network is a type of computer model loosely inspired by how brains work. It's made of many tiny units (called neurons) connected in layers, each one doing a small math problem and passing the answer along. By adjusting the strength of those connections during training, the network learns to do impressive things, from recognizing voices to generating art.
Example: Almost every modern AI tool, from your phone's facial recognition to ChatGPT, is built on a neural network. The magic isn't in any one neuron; it's in how millions of them work together to turn input (a photo, a question, a sentence) into useful output.