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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

Examples

Now that we have our code created, let's use a few examples to see how it can be used.

Training to a minimum

In this example, we will use the code we wrote to train a network to a minimum value or threshold. For each step, the network prompts you for the correct data, saving us the process of cluttering up our example code with this. In production, you would probably want to pass in the parameters without any user intervention, in case this is run as a service or microservice:

Training to a maximum

In this example, we are going to train the network to reach...

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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