title: Why the output of regression task DNN is normal-like distributed?
body: <p>I'm training DNN network to fit a regression task, and the target <code>Y</code> is uniformal distributed. But through the tensorboard I see the output of the network is normal-like distributed.
  So how to deal with this ? Or is it necessary to assert the target to be normal-distributed?</p>