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Neural Networks


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by Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
by Serge Desmedt
A try it yourself guide to the basic math behind perceptrons
by Byte-Master-101
In Part 2, the Neural Network made in Part 1 is tested in an environment made in Unity so that we can see how well it performs.
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.

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by Ammar Albush 1997
Logo Recognition System Program written in C# .NET 6.0 Windows Form (,Tensorflow.keras,Emgu Cv,ScottPlot.WinForms,Newtonsoft.Json)
by Tejpal Singh Chhabra
A C++ class implementing a back-propagation algorithm neural net, that supports any number of layers/neurons
by Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
by Denis Pashkov
Solve XOR problem using dynamic weights

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Neural Networks 

22 Oct 2017 by Shun Huang
Machine learning is a term that people are talking about often in the software industry, and it is becoming even more popular day after day. Media is filled with many fancy machine learning related words: deep learning, OpenCV, TensorFlow, and more.
24 Nov 2017 by Nikola M. Živković
Common neural network activation functions
24 Mar 2017 by Rob Kraft
An overview of the techniques that can be used to damage the most popular AI in use today, neural networks
21 Oct 2016 by marcus obrien
Computer engineering and the hidden neural network brain in the Arduino 101
20 Jun 2017 by Dave Ceddia
If you are learning React, start small
22 Nov 2017 by Bahrudin Hrnjica
How to setup learning rate per iteration in CTNK using C#
21 Jan 2018 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?
15 Nov 2017 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.
1 Mar 2018 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.
26 Feb 2018 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.
22 Dec 2017 by Philipp_Engelmann
In this part of this series, we will add some more Turing machines and extend the logging.
12 Feb 2018 by Shun Huang
In the previous article, Machine Learning Basics and Perceptron Learning Algorithm, the assumption was that the Iris Data Set trained by Perceptron Learning Algorithm is linear separable, so the number of misclassification on each training iteration eventually converge to 0.