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Hands-On Neural Network Programming with C#

You're reading from Hands-On Neural Network Programming with C#

Product type Book

Published in Sep 2018

Publisher Packt

ISBN-13 9781789612011

Pages 328 pages

Edition 1st Edition

Languages

Concepts

Neural Networks

Author (1):

Matt Cole

Table of Contents (16) Chapters

Preface

A Quick Refresher

Building Our First Neural Network Together

Decision Trees and Random Forests

Face and Motion Detection

Training CNNs Using ConvNetSharp

Training Autoencoders Using RNNSharp

Replacing Back Propagation with PSO

Function Optimizations: How and Why

Finding Optimal Parameters

Object Detection with TensorFlowSharp

Time Series Prediction and LSTM Using CNTK

GRUs Compared to LSTMs, RNNs, and Feedforward networks

Activation Function Timings

Function Optimization Reference

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QuickNN

To follow along with the code, you should have the QuickNN solution open inside Microsoft Visual Studio. We will be using this code to explain in detail some of the finer points as well as comparisons between coding the different networks. Here is the solution you should have loaded:

Solution

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Authors (1)

Matt Cole

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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