Matt R. Cole - Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications

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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.

Gaurav Aroraa has an M.Phil in computer science. He is a Microsoft MVP, certified as a scrum trainer/coach, XEN for ITIL-F, and APMG for PRINCE-F and PRINCE-P. Gaurav serves as a mentor at IndiaMentor and webmaster at dotnetspider, and he cofounded Innatus Curo Software LLC. Over more than 19 years of his career, he has mentored over a thousand students and professionals in the industry. You can reach Gaurav via Twitter @g_arora.

Rich Pizzo has many years of experience in the design and development of software and systems. He was a senior architect and project lead, especially in the realm of financial engineering and trading systems. He was the chief technologist at two companies. His knowledge and expertise in digital electronics left its mark in the software domain, as well in providing heterogeneous solutions to tough optimization problems. He has come up with many unique solutions for maximizing computing performance, utilizing Altera FPGAs and the Quartus development environment and test suite.

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This book will help users learn how to develop and program neural networks in C#, as well as how to add this exciting and powerful technology to their own applications. Using many open source packages as well as custom software, we will work our way from simple concepts and theory to powerful technology that everyone can use.

This book is for the C# .NET developer looking to learn how to add neural network technology and techniques to their applications.

, give you a basic refresher on neural networks.

, Building our First Neural Network Together , shows what activations are, what their purpose is, and how they appear visually. We will also present a small C# application to visualize each using open source packages such as Encog, Aforge, and Accord.

, Decision Trees and Random Forests , helps you to understand what decision trees and random forests are and how they can be used.

, Face and Motion Detection , will have you use the Accord.Net machine learning framework to connect to your local video recording device and capture real-time images of whatever is within the camera's field of view. Any face in the field of view will be then tracked.

, Training CNNs Using ConvNetSharp , will focus on how to train CNNs with the open source package ConvNetSharp. Examples will be used to illustrate the concepts for the user.