Definition
A machine-learning model loosely inspired by the brain, built from layers of interconnected nodes that learn patterns from labeled examples. Road Triage uses neural networks to recognize and measure pavement distress, signs, markings, and assets in roadway imagery.
In context
A neural network learns to recognize a pothole from many labeled examples rather than fixed rules.