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Hands-On Neural Network Programming with C#

Hands-On Neural Network Programming with C#

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http://ec4.images-amazon.com/images/P/1789612012.7450911@qq.comHands-OnNeuralNetworkProgrammingwithC#:AddpowerfulneuralnetworkcapabilitiestoyourC#enterpriseapplicationsBy作者:MattR.ColeISBN-10书号:178 ...
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http://ec4.images-amazon.com/images/P/1789612012.7450911@qq.com
  1. Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications
  2. By 作者: Matt R. Cole
  3. ISBN-10 书号: 1789612012
  4. ISBN-13 书号: 9781789612011
  5. Release Finelybook 出版日期: 2018-10-09
  6. pages 页数: (328 )

  7. $39.99


  8. Book Description to Finelybook sorting
  9. Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence.

  10. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks.

  11. This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search.

  12. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications.

  13. Contents
  14. 1: A QUICK REFRESHER
  15. 2: BUILDING OUR FIRST NEURAL NETWORK TOGETHER
  16. 3: DECISION TREES AND RANDOM FORESTS
  17. 4: FACE AND MOTION DETECTION
  18. 5: TRAINING CNNS USING CONVNETSHARP
  19. 6: TRAINING AUTOENCODERS USING RNNSHARP
  20. 7: REPLACING BACK PROPAGATION WITH PSO
  21. 8: FUNCTION OPTIMIZATIONS: HOW AND WHY
  22. 9: FINDING OPTIMAL PARAMETERS
  23. 10: OBJECT DETECTION WITH TENSORFLOWSHARP
  24. 11: TIME SERIES PREDICTION AND LSTM USING CNTK
  25. 12: GRUS COMPARED TO LSTMS, RNNS, AND FEEDFORWARD NETWORKS
  26. What You Will Learn
  27. Understand perceptrons and how to implement them in C#
  28. Learn how to train and visualize a neural network using cognitive services
  29. Perform image recognition for detecting and labeling objects using C# and TensorFlowSharp
  30. Detect specific image characteristics such as a face using Accord.Net
  31. Demonstrate particle swarm optimization using a simple XOR problem and Encog
  32. Train convolutional neural networks using ConvNetSharp
  33. Find optimal parameters for your neural network functions using numeric and heuristic optimization techniques.
  34. Authors
  35. Matt R. Cole
  36. Matt R. Cole is a developer and author with 30 years’ experience. Matt is the owner of Evolved AI Solutions, a provider of advanced Machine Learning/Bio-AI, Microservice and Swarm technologies. Matt is recognized as a leader in Microservice and Artificial Intelligence development and design. As an early pioneer of VOIP, Matt developed the VOIP system for NASA for the International Space Station and Space Shuttle. Matt also developed the first Bio Artificial Intelligence framework which completely integrates mirror and canonical neurons. In his spare time Matt authors books, and continues his education taking every available course in advanced mathematics, AI/ML/DL, Quantum Mechanics/Physics, String Theory and Computational Neuroscience.
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