The neural network field enjoys now a resurgence of interest. New training techniques made training deep networks feasible. With deeper networks, more training data and powerful new hardware to make it all work, deep neural networks (or “deep learning” systems) suddenly began making rapid progress in areas such as speech recognition, image classification and language translation. 
As result of this there are many posts or websites over the web with the source code and tutorials for neural networks of different types and complexity. Starting from simple feedforward network with just one hidden layer the authors of blog posts or tutorials are helping us to understand how to build neural net (deep or shallow).
To help to find needed python source code for neural network with desired features the website Neural Networks with Python on the Web was created.
Please feel free to add any comments, suggestions or advise the link to neural network web page (python source code) via the comments box on this page.
1. Why artificial intelligence is enjoying a renaissance