Neural networks in Python without using any ready-made libraries ... i.e. From the first principles ..help!

Question

I am trying to learn python programming, and I am also working against the deadline for creating a neural network, which seems to include multidirectional associative memory and repeating connections among other things. While the math for all these things can be obtained from different texts and sources (and available, so to speak), as a beginner in python (and programming as a profession), I kind of float in space, looking for firmament when I try "realize" things! Information about any good online tutorials on creating neural networks ab initio will be appreciated :)

In the meantime, I work as a MatLab user to feed wounds caused by Python :)

Answer 1

If you are familiar with Matlab, check out the excellent Python libraries numpy , scipy, and matplotlib . Together they provide the most commonly used subset of Matlab functions.

Answer 2

You may be interested in Neurolab - neural networks in Python with an API, for example, MATLAB's Neural Networks Toolbox

Answer 3

I don't know anything about neural networks, but PyNeurGen seems like a good resource.