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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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Toc

Table of Contents (16) Chapters Close

Preface 1. A Quick Refresher 2. Building Our First Neural Network Together FREE CHAPTER 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

Facial detection

Now, let's take a quick look at our application. You should have the sample solution loaded into Microsoft Visual Studio:

And here's a look at our sample application running. Say Hi to Frenchie everyone!

As you can see, we have a very simple screen that is dedicated to our video capture device. In this case, the laptop camera is our video capture device. Frenchie is kindly posing in front of the camera for us, and as soon as we enable facial tracking, look what happens:

The facial features of Frenchie are now being tracked. What you see surrounding Frenchie are the tracking containers (white boxes), and our angle detector (red line) displayed. As we move Frenchie around, the tracking container and angle detector will track him. That's all well and good, but what happens if we enable facial tracking on a real human face? As you can see in the...

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