I want to predict temperature with a LSTM using the following inputs:

> 
> Temperature,
>  Pressure,
>  Windspeed
> 
> 
> 

My output is:

> 
> Temperature
> 
> 
> 

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.

Or should i min max normalize all the inputs separately?