In order to test my knowledge on neural networks I decided to build one from scratch, not implementing any machine learning libraries. This is a simple neural net with 2 input nodes and one output node, at the moment the training data is random numbers, but I'll eventually make it something useful...

Note: The project is a work in progress and is not yet finished. The current model has no training functionality implemented and uses a hard coded set of node and weight values to produce an output.

This is a simple project and is contained within one .py file. Run the neural net using the python neuralnetwork.py. The output is written to the console.