In machine learning and cognitive science, artificial neural networks (ANNs) are a family of models inspired by biological neural networks (the central nervous systems of animals, in particular the brain) and are used to estimate or approximate functions that can depend on a large number of inputs and are generally unknown. Artificial neural networks are generally presented as systems of interconnected "neurons" which exchange messages between each other. The connections have numeric weights that can be tuned based on experience, making neural nets adaptive to inputs and capable of learning.

Neural network(s) may refer to:

• Artificial neural network, neural network models and devices employed in statistics, cognitive psychology and artificial intelligence
• Biological neural network, collections of physically interconnected neurons whose inputs define a recognizable circuit such as the brain and the eyes through the visual cortex
• Neural Networks (journal)