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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

Hyperparameters and tuning

Hyperparameters in general are parameters used for tuning various machine learning functions. This is no different in our application.

On the front screen of our application, the following is what our hyperparameter panel looks like. We will discuss each hyperparameter in detail:

Parameters

Function

This is a list of all available functions for optimization. Simply select the function you would like to use, set the strategy and other parameters, and click the Run button. Please see the function optimization reference for more detailed information about each function. There are over 50 different functions currently available at the time of writing, and we will cover in a later chapter how you can...

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