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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

Summary

Well, folks, I think it's time to wrap this chapter up and move on. You should commend yourself, as you've written a complete autoencoder from start to (almost) finish. In the accompanying source code, I have added even more functions to make this more complete, and for you to have a better starting point from which to make this a powerful framework for you to use. As you are enhancing this, think about the things you need your autoencoder to do, block in those functions, and then complete them as we have done. Rather than learn to use an open-source framework, you've built your own—congratulations!

I have taken the liberty of developing a bit more of our autoencoder framework with the supplied source code. You can feel free to use it, discard it, or modify it to suit your needs. It's useful, but, as I mentioned, please feel free to embellish...

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