Memristors Enable Quick-Learning Neural Network

  • Magazine Article
  • TBMG-28560
Published March 01, 2018 by Tech Briefs Media Group in United States
Language:
  • English

Inspired by brains, neural networks are composed of neurons (or nodes) and synapses, which are the connections between nodes. To train a neural network for a task, a neural network takes in a large set of questions and the answers to those questions. In this process of what’s called supervised learning, the connections between nodes are weighted more heavily or lightly to minimize the amount of error in achieving the correct answer.