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

Getting started

Before we get started, let me show you the product we are going to create. When we are done you will have an application that allows you to view graphically how a function minimizes or maximizes over iterations. This is contrary to the typical text-based representations of such systems, as follows:

3D Plot

As you can see, this is a very visual application. Let's go ahead and break this down into sections that we will refer to as we progress.

The first section is the three-dimensional plot and is located on our main page. Three dimensions can provide much more insight into the path that each particle in the swarm takes, and the swarm itself is taking. It is also much easier to see when a particle or the swarm converges on the global minimum. For this plot we will use the incredible Nevron chart control. You can find more information about this Chart control...