Hi Franck,
Thanks for your reply. I will try your solutions.
I still have another “beginner” question regarding neural network in general. It seems that the process behind the network are linear (at lest most of the time) so how can a network learn something that is not directly related to the weighted sum of the input (through one or more layer).
Let say, is it possible to build a network that would do nothing more than find the maximum value of an input vector built from random Gaussian noise ? How would you do that ?