## Fix Python – How to implement the Softmax function in Python

From the Udacity’s deep learning class, the softmax of y_i is simply the exponential divided by the sum of exponential of the whole Y vector:

Where S(y_i) is the softmax function of y_i and e is the exponential and j is the no. of columns in the input vector Y.

I’ve tried the following:

import numpy as np

def softmax(x):

“””Compute softmax v….