I'm using glove word embedding and would like to
[-1,1] normalize it using python. The data is in the format of a dict with the word as key and a
np array as value. Thus I would have to loop through all 2m entries, get the min and max and then loop again to normalize it.
Is there a more efficient way to do that?
Thanks in advance!