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Hands-On Neural Network Programming with C#

You're reading from   Hands-On Neural Network Programming with C# Add powerful neural network capabilities to your C# enterprise applications

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789612011
Length 328 pages
Edition 1st Edition
Languages
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Author (1):
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Matt Cole Matt Cole
Author Profile Icon Matt Cole
Matt Cole
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Table of Contents (16) Chapters Close

Preface 1. A Quick Refresher FREE CHAPTER 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

Understanding visualizations

In this section we will go over some of the many that you will see in our program. This includes both two and three dimensional plots.

Understanding two-dimensional visualizations

For our application, we have several two-dimensional visualizations that we need to explain. The first is the two-dimensional plot of the function optimization, be it maximized or minimized. This visualization is shown as follows. Remember, for this we are using Microsoft Chart control, which is available from: https://www.microsoft.com/en-us/download/details.aspx?id=14422:

2D Visualization

For each particle that we are plotting (up to a maximum of 10), we will have a different marker style. A marker is the diamonds...

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