Glossary: Neural Network

Neural networks are used to help robots learn, understand, and react to their environments. They follow a software model designed to function similarly to a human brain’s biological neural pathways. Neural networks are composed of multi-layered “neurons” that take in and process data – the input layer, the hidden layers, and the output layer. Like a human brain, neural networks strive to predict accurate outcomes by weighing the data they receive over time. Neural networks are the supporting architecture of machine learning.