Prerequisite:

先决条件：

Numpy is the library of function that helps to construct or manipulate matrices and vectors. The function numpy.tanh(x) is a function used for generating a matrix / vector / variable with the Tangent Hyperbolic value of b x (as tanh(x)).

Numpy是一个功能库，可帮助构造或操纵矩阵和向量。 函数numpy.tanh(x)是用于生成正切双曲值为b x的矩阵/向量/变量(作为tanh(x) )的函数 。

Syntax:

句法：

numpy.tanh(x)

Input parameter(s):

输入参数：

• x – could be a matrix or vector or a variable.

  x –可以是矩阵，向量或变量。

Return value:

返回值：

A Matrix or vector or a variable of the same dimensions as input x with tanh(x) values (between 0 and 1) at each entry.

与输入x尺寸相同的矩阵或向量或变量，每个条目处具有tanh(x)值(介于0和1之间)。

Applications:

应用范围：

1. Machine Learning

   机器学习

2. Neural Network

   神经网络

Python代码将向量/矩阵元素的双曲正切值 (Python code to hyperbolic tangent value of vector/matrix elements)

# Linear Algebra Learning Sequence# Printing hyperbolic tangent value of # vector/matrix elements using numpy.tanh()import numpy as np#Use of np.array() to define an VectorV = np.array([323,.623,823])print("The Vector A : ",V)VV = np.array([[3,63,.78],[.315,32,42]])print("\nThe Vector B : \n",VV)pro = V.dot(VV.T)print("\nProduct of two vectors : ", pro)    print("\ntanh(AB) : ", np.tanh(pro))print("\ntanh(A) : ", np.tanh(V))print("\ntanh(B) : \n", np.tanh(VV))

Output:

输出：

The Vector A :  [3.23e+02 6.23e-01 8.23e+02]The Vector B :  [[ 3.    63.     0.78 ] [ 0.315 32.    42.   ]]Product of two vectors :  [ 1650.189 34687.681]tanh(AB) :  [1. 1.]tanh(A) :  [1.         0.55321335 1.        ]tanh(B) :  [[0.99505475 1.         0.65270671] [0.30497892 1.         1.        ]]

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