Numpy softmax

>>> from scipy.special import softmax
>>> np.set_printoptions(precision=5)
>>> x = np.array([[1, 0.5, 0.2, 3],
              [1,  -1,   7, 3],
              [2,  12,  13, 3]])
>>> m = softmax(x)
>>> m
array([[  4.48309e-06,   2.71913e-06,   2.01438e-06,   3.31258e-05],
       [  4.48309e-06,   6.06720e-07,   1.80861e-03,   3.31258e-05],
       [  1.21863e-05,   2.68421e-01,   7.29644e-01,   3.31258e-05]])

Source: docs.scipy.org

Softmax function python

def softmax(x):
    return np.exp(x) / np.sum(np.exp(x), axis=0)

Source: stackoverflow.com

Similar codes

1 vote171 views1 answer
How to get the value out of a dictionary python3
Python
0 vote176 views1 answer
Sumif in python on a column and create new column
Python
14 votes188 views3 answers
Python remove first and last character from string
Python
0 vote218 views1 answer
Filter field set in django formds
Python Django
0 vote199 views1 answer
Add readme cmd
Python
0 vote193 views1 answer
How to make a script that reads from Database and then writes to the csv file and then uploads the file to Google Drive in python
Python
1 vote176 views1 answer
Time it in jupyter notebook
Python
0 vote336 views1 answer
How to add array and array in python
Python
35 votes170 views2 answers
Convert into date python
Python
38 votes172 views2 answers
Python create new folder if not exist
Python