A neural network is a computational machine-learning model that follows the structure of the human brain. It consists of networks of interconnected nodes or neurons to process and learn from data, run complex tasks, and arrive at conclusions. It mimics how biological neurons work in a human brain and develops an adaptive system that continuously improves based on past mistakes.
