title: Should I normalize distributions when I concat two kind of neural networks
body: <p>I concatenated LSTM networks and FC networks however the result of the concatenated networks is not good.
  So, I recorded histograms of each output of networks and found out distributions of both networks are different.
  In this case, Should I normalize each network's output before I concat those?
  If it is, what kind of normalization should I apply?
  I applied the batch normalization for each output but the result is very same as before.
  Thanks in advance.</p>