Building a NN using FPGA

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Hi Everybody
  I am trying to build a neural network using FPGA.
As you know, the one problem that should be solved is implementation
of non-linear activation function. I have read thro' many papers; some
implemented using look up tables, some calculated it using piecewise
approximation methods.
Also I have been thinking about using different number systems that
would give good precision.
Any suggestions or comments helping me to find more reasonable methods
would be appreciated
Thank you for your replies

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