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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

References

  • Vincent P, La Rochelle H, Bengio Y, and Manzagol P A (2008), Extracting and Composing Robust Features with Denoising Autoencoders, proceedings of the 25th international conference on machine learning (ICML, 2008), pages 1,096 - 1,103, ACM.
  • Vincent, Pascal, et al, Extracting and Composing Robust Features with De-noising Autoencoders., proceedings of the 25th international conference on machine learning. ACM, 2008.
  • Kingma, Diederik P and Max Welling, Auto-encoding variational bayes, arXiv pre-print arXiv:1312.6114 (2013).
  • Marc'Aurelio Ranzato, Christopher Poultney, Sumit Chopra, and Yann LeCun, Efficient Learning of Sparse Representations with an Energy-Based Model, proceedings of NIPS, 2007.
  • Bourlard, Hervé, and Yves Kamp, Auto Association by Multilayer Perceptrons and Singular Value Decomposition, Biological Cybernetics 59.4–5 (1988): 291-294.
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