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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

Building Our First Neural Network Together

Now that we've had a quick refresher on Neural Networks, I thought that perhaps a good starting point, code-wise, would be for us to write a very simple neural network. We're not going to go crazy; we'll just lay the basic framework for a few functions so that you can get a good idea of what is behind the scenes of many of the APIs that you'll use. From start to finish, we'll develop this network application so that you are familiar with all the basic components that are contained in a neural network. This implementation is not perfect or all-encompassing, nor is it meant to be. As I mentioned, this will merely provide a framework for us to use in the rest of the book. This is a very basic neural network with the added functionality of being able to save and load networks and data. In any event, you will have...

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