Definition

A computing system made up of layers of nodes (or “neurons”) that process data in a way that mimics how the human brain operates. Neural networks are capable of learning from data, making predictions, and powering deep learning systems used in speech recognition, image analysis, and more.

Example

Neural networks are what power facial recognition systems by identifying features in images with high accuracy.

How It’s Used in AI

Neural networks drive many advanced AI systems, especially those that require pattern recognition or classification - like image tagging, voice-to-text conversion, and autonomous vehicle navigation. Deep learning models are built on complex neural network architectures.

Pro Tip

The more layers a neural network has, the more powerful it becomes - but it also requires more data and computing power. This is known as deep learning.