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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

Training Autoencoders Using RNNSharp

In this chapter, we will be discussing autoencoders and their usage. We will talk about what an autoencoder is, the different types of autoencoder, and present different samples to help you better understand how to use this technology in your applications. By the end of this chapter, you will know how to design your own autoencoder, load and save it from disk, and train and test it.

The following topics are covered in this chapter:

  • What is an autoencoder?
  • Different types of autoencoder
  • Creating your own autoencoder
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