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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 Particle Swarm Optimization

And now we come to the moment of truth. How does any of this apply to my code? In order to answer this question, we are going to use the open source Encog machine learning framework for our next demonstration. You can download our sample project following the instructions for the web location of the files for the book. Please make sure you have it loaded and open in Visual Studio before proceeding:

We are going to create a sample application that will demonstrate replacing back propagation with Particle Swarm Optimization. If all goes well, from the outside looking in you will not notice a difference.

You will be able to run this sample out of the box and follow along. We will be using the XOR problem solver, but instead of using back propagation it will be using the Particle Swarm Optimization we've been discussing...

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