These scrips are updated ones from the neuralnetworksanddeeplearning.com gitHub repository in order to work with Python 3.5.2
The testing file (test.py) contains all three networks (network.py, network2.py, network3.py) from the book and it is the starting point to run (i.e. train and evaluate) them.
In test.py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book
NN_Nielsen: Neural Network and implementations from the Book "Neural Networks and Deep Learning" from Michael Nielsen.
NN_Raschka: Neural Network and implementations from the book Python Machine Learning from Sebastian Raschka.
NN_Aljuarismi: Neural Network implemented by myself, not yet.