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Hands-On Neural Network Programming with C#

You're reading from  Hands-On Neural Network Programming with C#

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781789612011
Pages 328 pages
Edition 1st Edition
Languages
Author (1):
Matt Cole Matt Cole
Profile icon Matt Cole

Table of Contents (16) Chapters

Preface 1. A Quick Refresher 2. Building Our First Neural Network Together 3. Decision Trees and Random Forests 4. Face and Motion Detection 5. Training CNNs Using ConvNetSharp 6. Training Autoencoders Using RNNSharp 7. Replacing Back Propagation with PSO 8. Function Optimizations: How and Why 9. Finding Optimal Parameters 10. Object Detection with TensorFlowSharp 11. Time Series Prediction and LSTM Using CNTK 12. GRUs Compared to LSTMs, RNNs, and Feedforward networks 13. Activation Function Timings
14. Function Optimization Reference 15. Other Books You May Enjoy

Replacing Back Propagation with PSO

One of the latest examples of success with neural networks is the field of study known as Swarm Intelligence. Even though this field of study has been around for many years, advances in computer hardware combined with our understanding of studying animals has helped us to take this fascinating field out of the laboratory and into many different directions and real-world scenarios.

In this chapter, we are going to cover the following:

  • Basic theory on Particle Swarm Optimization, or PSO for short
  • The open-source machine-learning framework Encog
  • Replacing the conventional back propagation with PSO
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