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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

The role of neural networks in today's enterprises

As developers, our main concern is how can we apply what we are learning to real world scenarios. More concretely, in an enterprise environment, what are the opportunities for using a neural network? Here are just a few ideas (out of many) for applications of a neural network:

  • In a scenario where relationships between variables are not understood
  • In a scenario where relationships are difficult to describe
  • In a scenario where the goal is to discover irregular patterns in data
  • Classify data to recognize patterns such as animals, vehicles, and so on
  • Signal processing
  • Image recognition (emotion, sentiment, age, gender, and so on)
  • Text translation
  • Handwriting recognition
  • Autonomous vehicles
  • And tons more!
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Hands-On Neural Network Programming with C#
Published in: Sep 2018 Publisher: Packt ISBN-13: 9781789612011
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