Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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
Author (1):
Matt Cole Matt Cole
Profile icon 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 Other Books You May Enjoy

Summary

In this chapter, we took a brief overview of various neural network terminologies. We reviewed perceptrons, neurons, and back propagation, among other things. In our next chapter, we are going to dive right into coding a complete neural network!

We will cover such topics as neural network training, terminology, synapses, neurons, forward propagation, back propagation, sigmoid function, back propagation, and error calculations.

So, hold onto your hats; the code is coming!

You have been reading a chapter from
Hands-On Neural Network Programming with C#
Published in: Sep 2018 Publisher: Packt ISBN-13: 9781789612011
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}