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

Summary

Well, folks, I think it's time to wrap this chapter up and move on. You should commend yourself, as you've written a complete autoencoder from start to (almost) finish. In the accompanying source code, I have added even more functions to make this more complete, and for you to have a better starting point from which to make this a powerful framework for you to use. As you are enhancing this, think about the things you need your autoencoder to do, block in those functions, and then complete them as we have done. Rather than learn to use an open-source framework, you've built your own—congratulations!

I have taken the liberty of developing a bit more of our autoencoder framework with the supplied source code. You can feel free to use it, discard it, or modify it to suit your needs. It's useful, but, as I mentioned, please feel free to embellish...