Neural Network

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Great Reads

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

by Gary.Miller.WPF

MNIST Digit recognition in C#

A Note on Neural Networks

by Dr. Song Li

This is a library to implement Neural Networks in JavaScript.

A Simple and Complete Explanation of Neural Networks

by Mahsa Hassankashi

This article also has a practical example for the neural network. You read here what exactly happens in the human brain, while you review the artificial neuron network.

A Tic Tac Toe AI with Neural Networks and Machine Learning

by Thomas Daniels

This article describes the making of a tic tac toe player that uses neural networks and machine learning.

Latest Articles

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

by Gary.Miller.WPF

MNIST Digit recognition in C#

A Note on Neural Networks

by Dr. Song Li

This is a library to implement Neural Networks in JavaScript.

A Simple and Complete Explanation of Neural Networks

by Mahsa Hassankashi

This article also has a practical example for the neural network. You read here what exactly happens in the human brain, while you review the artificial neuron network.

A Tic Tac Toe AI with Neural Networks and Machine Learning

by Thomas Daniels

This article describes the making of a tic tac toe player that uses neural networks and machine learning.

All Articles

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neural-network

Backpropagation Algorithm in Artificial Neural Networks

by Nikola M. Živković

Backpropagation in ANN

Common Neural Network Activation Functions

by Nikola M. Živković

Common neural network activation functions

Computer Engineering and the Hidden Neural network brain in the Arduino 101

by marcus obrien

Computer engineering and the hidden neural network brain in the Arduino 101

Creating a Turing Machine in Python – Part 3

by Philipp_Engelmann

In this part of this series, we will add some more Turing machines and extend the logging.

Deep Learning – Training an AI to Play Doom

by Philipp_Engelmann

With recent scientific advancements in Deep Learning, Artificial Intelligence and Neural Networks, as well as steadily evolving tools such as Tensorflow, Pytorch, and Keras, writing, testing and optimizing your own Neural Networks is now easier than ever before.

How do Artificial Neural Networks learn?

by Nikola M. Živković

The biggest power of ANNs is that they can be familiarized with some kind of problem in the process of training and are later able to solve problems of the same class – just like humans do! But how do they do that?

How to Setup Learning Rate Per Iteration in CTNK using C#

by Bahrudin Hrnjica

How to setup learning rate per iteration in CTNK using C#

Introduction to Artificial Neural Networks

by Nikola M. Živković

Did you know that first ideas revolving around AI can be traced back to the 40's? Nevertheless, it is still a field that is in its infancy, so to say, and a concept that we still don't know a lot about.

Introduction to Convolutional Neural Networks

by Nikola M. Živković

Have you ever wondered how Facebook knows how to suggest the right friend to tag? Speaking of it, how does the Google’s image search algorithm work? Yes, you are right, there is a neural network involved in all those tasks.

Learning React? Start Small.

by Dave Ceddia

If you are learning React, start small

Machine Learning Basics: Pocket Learning Algorithm and Basic Feature Engineering

by Shun Huang

Pocket Learning Algorithm and Basic Feature Engineering

Malware for Neural Networks: Let’s Get Hacking!

by Rob Kraft

An overview of the techniques that can be used to damage the most popular AI in use today, neural networks