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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

Finding Optimal Parameters

In this chapter, we will use the open source package SwarmOps, version 4.0, to help you better understand how you can use this tool to find optimal parameters for your functions. You can get the latest version of SwarmOps from the following location: https://github.com/mattcolefla/SwarmOps.

Once again, we must spend a little time on theory, where we will take you back to your academic days and lay a foundation so that we are all speaking the same language. It should be noted that SwarmOps is a highly research-oriented tool and should be used as such. We have worked hard to make this product open source, and the latest version has over 60 different optimization functions for you to use.

This chapter will cover the following topics:

  • Fitness function
  • Constraints
  • Meta-optimization
  • Optimization methods
  • Parallelism

Ready? Here we go!

...
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