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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

Optimization

Solutions to some problems are not as cut and dry as correct or incorrect, but are rated in terms of quality. Such problems are known as optimization problems because the goal is to find the candidate solution with the best, that is, optimal quality.

What is a fitness function?

SwarmOps works for real-valued and single-objective optimization problems, that is, optimization problems that map candidate solutions from -dimensional real-valued spaces to one-dimensional real-valued spaces. Mathematically speaking, we consider optimization problems to be functions of the following form:

In SwarmOps, it is assumed that is a minimization problem, meaning that we are searching for the candidate solution with the smallest...

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