NeuralDuino - dynamic and user reconfigurable

The beauty of a library is when changing the architecture of a neural network is easy enough to be implemented in the arduino sketch itself.
so with the suggestions by t3db0t on issue (https://github.com/t3db0t/Neuroduino/issues/1) i implemented the architecture of the neural network shown in the link in the issue and VOILA!!! the XOR converged beautifully
the best part about it was that i had to make no changes in the library whatsoever which actually strengthens and validates the need of such a reconfigurable library for neural networks on the arduino

thanks to t3db0t :-)

Added the momentum parameter to the network (not as an option though, will mayb do that if it has undesirable effects)
but adding momentum hasnt helped the XOR problem still , now i think i need help solving the XOR problem because i wont be able to sleep peacefully without making a perfectly working library so

Please HELP !!

the library i think is up and running , i tested it with the linearly separable test cases AND OR gates etc and have added the examples for the same

Also made a counting example that takes input in 2 digit binary and outputs a decimal number one greater than the decimal equivalent of the binary (e.g input {1,1} output =4 ; input={0,1} output=2)
the XOR problem still gets stuck at output values of 0.5ish, looking into it though