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copied!<p>I am currently using <a href="http://www.willamette.edu/~gorr/classes/cs449/intro.html" rel="nofollow noreferrer">this site</a> as a primer - not python, but a good feed-forward network example and pretty straightforward to follow.</p> <p>At the same time I have been reading The Essence of Neural Networks by Robert Callan (ISBN 0-13-908732-X) which has a wide range of network architectures and applications and is an easy read.</p> <p>Since you mention python I should direct you to <a href="http://www.ibm.com/developerworks/library/l-neural/" rel="nofollow noreferrer">this IBM site</a>, which I found very useful and the underlying code is in python <a href="http://arctrix.com/nas/python/bpnn.py" rel="nofollow noreferrer">here</a>. Citation should go to <a href="http://arctrix.com/nas/" rel="nofollow noreferrer">Neil Schemenauer</a>.</p> <p>I should also mention that I took the python code and ported it to numpy because it ran very slowly. I was unsuccessful, but before I rubbish numpy I have to say that I suspect my implementation was not very good and I'm sure there is a vectorised way of doing forward passes and backpropagations, I just didn't find it.</p> <p>What I have ended up doing is implementing in Java by a simple port of the python code. This only took an hour or so and it runs about 100 times faster. I think this is more proof that I don't know what I'm doing with numpy, but if you are starting from scratch I would question whether raw python is the right language for you. You may be better coding this sort of thing in C or C++ if you have to use python.</p> <p>Best of luck.</p>

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