softmax

# softmax

import numpy as np

def softmax(a):

    c = np.max(a)

    exp_a = np.exp(a - c)

    sum_exp_a = np.sum(exp_a)

    y = exp_a / sum_exp_a

   

    return  y

a = np.array([0.3, 2.9, 4.0])

exp_a = np.exp(a)

print(exp_a)

sum_exp_a = np.sum(exp_a)

print(sum_exp_a)

y = exp_a / sum_exp_a

print(y)