softmax代码实现

Sure, here's a basic implementation of softmax function in Python:

import numpy as np

def softmax(x):
    e_x = np.exp(x - np.max(x))
    return e_x / e_x.sum()

# example usage
x = np.array([1, 2, 3])
print(softmax(x))

Hope that helps!