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