NeuralNetTest

Main repository at: https://gitlab.com/ChriZ98/NeuralNetTest

This is my test project for the NeuralNetLib.

What is this repository for?

The task is to recognize handwritten digits.
In this demo you can write some number on the screen and a neural network will tell you what it is.
You can play around with different learning setups.
My best network has an accuracy of 98% on the test data. Go ahead and try to beat my accuracy. ;)

What are neural networks?

Neural Networks are very small representations
of the human brain. Every network consists of different layers and performs
mathematical operations on them. The whole network can be seen as a black box
acting like a function. Networks can be trained so that a specific input is
resulting in a desired output.

Great literature and references

The following list contains links to great articles and other helpful content:

• Neural networks and deep learning by Michael Nielsen
• The MNIST Database by Yann LeCun, Corinna Cortes, Christopher J.C. Burges
• Performance of Matrix multiplication by Martin Thoma

Version History

Version 1.0 - Neural Net

• First version with working handwritten digit recognition.
• First version of math lib.
• Got working matrix and vector classes.
• First version of neural network lib.
• Implemented working stochastic gradient descent.

License

NeuralNetTest by ChriZ98 is licensed under a

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License