(x)
return e_x / e_x.sum(axis=0)
Compute softmax values for each sets of scores in x.
Compute softmax values for each sets of scores in x.
Compute softmax values for each sets of scores in x .
def softmax(x):
  """Compute softmax values for each sets of scores in x."""
  e_x = np.exp(x - np.max(x))
  return e_x / e_x.sum(axis=0)
def softmax ( x ) : e_x = np . exp ( x - np . max ( x ) ) return e_x / e_x . sum ( axis = 0 )