A python implementation of neural networks from the scratch for studying reasons.
In the main.py a simple nn is setup with some configuration and then its printed out.
Next steps are a simple training process as feedforward nn with logistic regression as activation function and backpropagation for learning.
Good explaination: https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/