- Complete the function that implements the softmax function. This function takes as parameter a list of numbers (For example the list shown in the photo liste=[1, 3, 2.5, 5, 4, 2]).

The softmax of y_i is 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.

- Will I have to import NumPy? If yes, can you also tell me how to install it to python 3.9.1 or how to create a virtual environment?

**Please write the answer in python language! **

Complter la fonction qui implemente la fonction exponentielle normalise. Cette fonction prend en paramtre une liste de chiffres. >>> liste=[1, 3, 2.5, 5, 4, 2] >>> fonction Exponentielle Normalise(liste) [0.011077544433957155, 0.08185259726090639, 0.04964610981585005, 0.6048134330040146, 0.22249852774649847, 0.030111887738773376] e" S(y;)= e'; j=1