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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

The Shubert function

The Shubert function is pictured here:

Shubert function

Description

Dimensions: 2

The Shubert function has several local minima and many global minima. The plot on the right shows the function on a smaller input domain, to allow for easier viewing.

Input domain

The function is usually evaluated on the xi ∈ [-10, 10] square, for all i = 1, 2, although this may be restricted to the xi ∈ [-5.12, 5.12] square, for all i = 1, 2.

Global minimum...

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