neural_network.activation_functions.soboleva_modified_hyperbolic_tangent

This script implements the Soboleva Modified Hyperbolic Tangent function.

The function applies the Soboleva Modified Hyperbolic Tangent function to each element of the vector.

More details about the activation function can be found on: https://en.wikipedia.org/wiki/Soboleva_modified_hyperbolic_tangent

Functions

soboleva_modified_hyperbolic_tangent(→ numpy.ndarray)

Implements the Soboleva Modified Hyperbolic Tangent function

Module Contents

neural_network.activation_functions.soboleva_modified_hyperbolic_tangent.soboleva_modified_hyperbolic_tangent(vector: numpy.ndarray, a_value: float, b_value: float, c_value: float, d_value: float) → numpy.ndarray

Implements the Soboleva Modified Hyperbolic Tangent function

Parameters:

vector (ndarray): A vector that consists of numeric values a_value (float): parameter a of the equation b_value (float): parameter b of the equation c_value (float): parameter c of the equation d_value (float): parameter d of the equation

Returns:

vector (ndarray): Input array after applying SMHT function

>>> vector = np.array([5.4, -2.4, 6.3, -5.23, 3.27, 0.56])
>>> soboleva_modified_hyperbolic_tangent(vector, 0.2, 0.4, 0.6, 0.8)
array([ 0.11075085, -0.28236685,  0.07861169, -0.1180085 ,  0.22999056,
        0.1566043 ])