title: Right way to normalize multiple input and output data
body: <p>I want to predict temperature with a LSTM using the following inputs:</p>
  
  <blockquote>
    <p>Temperature,
    Pressure,
    Windspeed</p>
  </blockquote>
  
  <p>My output is:</p>
  
  <blockquote>
    <p>Temperature</p>
  </blockquote>
  
  <p>What is the best way to normalize the input data?
  Should i just min max scale all of the 3 inputs together? Which would then also mean that the normalized output differs as min and max from Temperature are not in same range as Windspeed and Pressure.</p>
  
  <p>Or should i min max normalize all the inputs separately?</p>