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

This is my test project for the NeuralNetLib.

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. ;)

Neural Networks are very small representationsof the human brain. Every network consists of different layers and performsmathematical operations on them. The whole network can be seen as a black boxacting like a function. Networks can be trained so that a specific input isresulting in a desired output.

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 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.

NeuralNetTest by ChriZ98 is licensed under a

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License