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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

Getting started

Before we get started, let me show you the product we are going to create. When we are done you will have an application that allows you to view graphically how a function minimizes or maximizes over iterations. This is contrary to the typical text-based representations of such systems, as follows:

3D Plot

As you can see, this is a very visual application. Let's go ahead and break this down into sections that we will refer to as we progress.

The first section is the three-dimensional plot and is located on our main page. Three dimensions can provide much more insight into the path that each particle in the swarm takes, and the swarm itself is taking. It is also much easier to see when a particle or the swarm converges on the global minimum. For this plot we will use the incredible Nevron chart control. You can find more information about this Chart control...

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