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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 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

Summary

In this chapter, we saw how to write a complete neural network from scratch. Although the following is a lot we've left out, it does the basics, and we've gotten to see it as pure C# code! We should now have a much better understanding of what a neural network is and what it comprises than when we first started.

In the next chapter, we will begin our journey into more complicated network structures such as recurrent and convolutional neural networks. There's a lot to cover, so hold on to your coding hats!

You have been reading a chapter from
Hands-On Neural Network Programming with C#
Published in: Sep 2018
Publisher: Packt
ISBN-13: 9781789612011
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