maths.sigmoid

This script demonstrates the implementation of the Sigmoid function.

The function takes a vector of K real numbers as input and then 1 / (1 + exp(-x)). After through Sigmoid, the element of the vector mostly 0 between 1. or 1 between -1.

Script inspired from its corresponding Wikipedia article https://en.wikipedia.org/wiki/Sigmoid_function

Functions

sigmoid(→ numpy.ndarray)

Implements the sigmoid function

Module Contents

maths.sigmoid.sigmoid(vector: numpy.ndarray) → numpy.ndarray

Implements the sigmoid function

Parameters:

vector (np.array): A numpy array of shape (1,n) consisting of real values

Returns:

sigmoid_vec (np.array): The input numpy array, after applying sigmoid.

Examples: >>> sigmoid(np.array([-1.0, 1.0, 2.0])) array([0.26894142, 0.73105858, 0.88079708])

>>> sigmoid(np.array([0.0]))
array([0.5])