How to calculate a logistic sigmoid function in Python?

Rate this post

Today, We want to share with you sigmoid function python.In this post we will show you Activation Functions in Neural Networks (relu function python), hear for A beginner’s guide to NumPy with Sigmoid, ReLu and Softmax activation functions we will give you demo and example for implement.In this post, we will learn about How To Negate A Boolean Value In Python? with an example.

Implement sigmoid function using Numpy

The logistic sigmoid simple function defined as eq (1/(1 + e^-x)) takes an input x of any real number as well as data returns an output value in the main range of -1 and 1.

Read Also:  Python Program to Check Armstrong Number


Define a fresh logistic sigmoid python function that takes input x as well as returns 1/(1 + math.exp(-x)).

Example :

def sigmoid(x):
  return 1 / (1 + math.exp(-x))




Free Live Chat for Any Issue

Example :

import math

def sigmoid(x):
  return 1 / (1 + math.exp(-x))

And lasy now you can simple test it by calling:

>>> sigmoid(0.458)

REFER : It is also available in scipy :


I hope you get an idea about How to calculate a logistic sigmoid function in Python?.
I would like to have feedback on my blog.
Your valuable feedback, question, or comments about this article are always welcome.
If you enjoyed and liked this post, don’t forget to share.