Book Image

Hands-On Neural Network Programming with C#

By : Matt Cole
Book Image

Hands-On Neural Network Programming with C#

By: Matt Cole

Overview of this book

Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. 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. 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. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications.
Table of Contents (16 chapters)
13
Activation Function Timings

Motion detection

We will now make our focus a bit more wide-scale and detect any motion at all, not just faces. Again, we'll use Accord.Net for this and use the Motion detection sample. As with facial recognition, you will see just how simple it is to add this capability to your applications and instantly become a hero at work! Let's make sure you have the correct project loaded into Microsoft Visual Studio:

With motion detection, anything that moves on the screen we will highlighted in red, so using the following screenshot you can see that the fingers are moving but everything else remains motionless:

In the following screenshot, you can see more movement, denoted by the red blocks along this anonymous hand:

In the following screenshot, you can see that the entire hand is moving:

If we do not wish to process the entire screen area for motion, we can define motion...