How to implement logistic function using theano?

Recipe Objective - How to implement logistic function using theano?

Let's try to implement logistic function:

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Example -

# Import libraries
import theano
from theano import tensor

# Creating a matrix
x = tensor.dmatrix('x')

# Creating expression for logistic function
y = 1 / (1 + tensor.exp(-x))

# Convert the expression into a callable object that takes 'x' matrix as input and computes a value for 'y'
logistic_function = theano.function([x], y)

# Calling function
logistic_function([[1, 1], [2, -4]])


Output -
array([[0.73105858, 0.73105858],
       [0.88079708, 0.01798621]])

In this way, we can implement logistic function using theano.