Glossary: Neural Network

A neural network is a machine-learning model made up of interconnected computational units, often organized into input, hidden and output layers. Neural networks learn patterns by adjusting the strength of connections between those units based on training data.

Neural networks are widely used in robotics for perception and decision-making tasks.

Applications for neural networks include:

• Image classification
• Object detection
• Navigation
• Pose estimation
• Robot-control policies
• Speech recognition

Deep learning generally refers to neural networks with multiple layers that can learn increasingly complex representations from data.

Related terms: Machine Learning, Deep Learning, Computer Vision, Physical AI