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Hands-On Neural Network Programming with C#

You're reading from   Hands-On Neural Network Programming with C# Add powerful neural network capabilities to your C# enterprise applications

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789612011
Length 328 pages
Edition 1st Edition
Languages
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Author (1):
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Matt Cole Matt Cole
Author Profile Icon Matt Cole
Matt Cole
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Table of Contents (16) Chapters Close

Preface 1. A Quick Refresher FREE CHAPTER 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

Basic theory

OK, pop quiz time. What do a flock of birds, a school of fish, and a swarm of bees all have in common? Swarm intelligence—knowing how to cooperatively live and work near each other while optimally achieving the same objective. It's not about the intelligence of the individual, but rather the achievements of the group. No one individual has a clear path or directive, no one is at the top shouting orders, yet the optimal goal is always accomplished. Swarms of bees find new nests by doing waggle dances. Birds fly in great harmony, each taking turns being the leader. Fish swim collectively in beautiful architectures we call schools. But if we as humans always need someone at the top giving orders, and we still collectively don't always agree, how is it that millions of these little creatures have been doing it for years and we can't? Oops, going...

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