In artificial intelligence, neural network is an emulation of a biological neural system, which receives the data, process the data and gives the output based on the algorithm and empirical data.
A neural network in artificial intelligence is a computational model inspired by the structure and function of the human brain. It consists of interconnected nodes, called neurons, organized in layers. Each neuron receives input signals, processes them, and produces an output signal that may be passed to other neurons. Neural networks are trained using algorithms to learn patterns and relationships within data, making them capable of tasks such as classification, regression, clustering, and more. They are a fundamental component of many machine learning and deep learning algorithms, allowing AI systems to learn from data and make predictions or decisions without being explicitly programmed.