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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

Function Optimizations: How and Why

bAnd now it's time to have some fun. We are going to develop a very powerful, three-dimensional application that you won't find anywhere else. This application will allow you to visualize how individual functions optimize over time, with a two and three-dimensional graphic of each. The source code for this application is located in the instructions given for access of the book's source code. This application will be very unique in that we will use a mixture of open source and third-party controls to create an unbelievably powerful application. Open source doesn't handle everything all the time, and for those of you serious about graphics I wanted to expose you to some controls aside from the open source standards such as ZedGraph, Microsoft Charting Controls, and others. As you will see in a moment, the difference is astounding...

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