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* Minor: Removed a divide by zero warning from the fixed point LIF ProcessModel Signed-off-by: Risbud, Sumedh <sumedh.risbud@intel.com> * Improved to MNIST end-to-end tutorial - uses fixed point bit-accurate ProcessModels for LIF and Dense - resets internal neural state of all LIF neurons - these changes are needed to make the pre-trained networks parameters work, because the network was trained with these assumptions Signed-off-by: Risbud, Sumedh <sumedh.risbud@intel.com> * Post code review @awintel and @phstratmann Signed-off-by: Risbud, Sumedh <sumedh.risbud@intel.com> * Post code review @awintel and @phstratmann Signed-off-by: Risbud, Sumedh <sumedh.risbud@intel.com> * Post re-review by @phstratmann Signed-off-by: Risbud, Sumedh <sumedh.risbud@intel.com> Co-authored-by: PhilippPlank <32519998+PhilippPlank@users.noreply.github.com>
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