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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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Toc

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

The Oakley & O'Hagan function

The pictorial representation of the Oakley & O'Hagan function is:

Oakley & O'Hagan function

Description

Dimensions: 2
This function is used by Oakley & O'Hagan (2002) as a simple illustrative example to show the discontinuity in the calculation of the posterior mean of the distribution function of the output.

Input domain

The domain of the random input variables is the xi ∈ [-0.01, 0.01] square, for all i = 1, 2.

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