Neural Networks

Part 3 of a 4-Part Series on AI in Travel

Neural Networks Published June 2017 Analyst: Bob Offutt

 

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Research Type:
Format:
HTML & PDF
Pages:
12
Figures:
5

Neural networks are the “thinking” part of artificial intelligence. This is where data is collected and, based on the structure and application of the data, where the outputs are developed. The goal of this article is to provide a business level guide to neural networks with separate sections addressing neural network:

  • Design
  • Training
  • Machine Learning

Neural networks are designed to replicate human thought. They can be used for photo recognition, fraud detection, trip planning and irregular operations, among many other applications. 

  • Introduction
  • Introduction
  • Design
    • Input Layer
    • Hidden Layers
    • Processing
    • Output Layer
    • Designer’s Responsibility
  • Training
  • Machine Learning
  • Deep Neural Networks (DNN) and Deep Machine Learning
  • Conclusion
    • The Takeaways
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