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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 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

Optimization methods

This section will give you a brief description of the optimization methods that are supplied with SwarmOps and some recommendations for their use.

Choosing an optimizer

When faced with a new optimization problem, the first optimizer you may want to try is the PS method, which is often sufficient and has the advantage of converging (or stagnating) very quickly. In addition, PS does not have any behavioral parameters that need tuning, so it either works or it doesn't. If the PS method fails at optimizing your problem, you may want to try the LUS method. You may need to run both PS and LUS several times as they may converge to sub-optimal solutions. If PS and LUS both fail, you may try the DE, MOL, or...

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