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
“””Compute softmax v….