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Hands-On Neural Network Programming with C#

You're reading from  Hands-On Neural Network Programming with C#

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781789612011
Pages 328 pages
Edition 1st Edition
Languages
Author (1):
Matt Cole Matt Cole
Profile icon Matt Cole

Table of Contents (16) Chapters

Preface 1. A Quick Refresher 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

Our example

So now that we have covered some basics for both CNTK and LSTM, it’s time to dive into our example application. You can find this project with the code that accompanies this book. Make sure you have it open in Microsoft Visual Studio before proceeding. You can follow the instructions in the upcoming The Code section if you need further instructions.

The example we are creating uses Microsoft CNTK as a back-end and will use a simple sine wave as our function. The sine wave was plotted earlier and is used due to it’s being widely familiar to most individuals.

Here are screenshots of what our example application looks like:

Main page – training data

The preceding screenshot shows our main screen, displaying our sine wave data points, our training data. The goal is to get our training data (blue) to match the red as closely as possible in shape, as...

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