Neural Network
A neural network is a computational model loosely inspired by biological neurons, in which weighted connections between simple units learn to map inputs to outputs.
What is Neural Network?
A neural network is built from layers of nodes. Each connection has a weight that is updated during training using gradient descent and back-propagation. Architectures include feed-forward networks, convolutional networks for images, recurrent networks for sequences, and transformer networks for language. The term is broad and now usually refers to deep architectures with many layers.
How does Neural Network apply to enterprise AI?
Most enterprise AI components shipped in 2026 are neural networks under the hood, even when wrapped in a higher-level API. Buyers do not configure them directly, but model choice, size, and provider have direct cost, latency, and compliance implications.
Related terms
Deep Learning
Foundation Model
Inference
External references
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