TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. cosh() is used to find element wise hyperbolic cos of x.
Syntax: tf.math.cosh(x, name)
Parameters:
- x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.
- name(optional): It defines the name for the operation.
Returns: It returns a tensor of same dtype as x.
Example 1:
Python3
# Importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([ -.5, -.3, 0, .3, .5], dtype = tf.float64)# Printing the input tensorprint('Input: ', a)# Calculating tangentres = tf.math.cosh(x = a)# Printing the resultprint('Result: ', res) |
Output:
Input: tf.Tensor([-0.5 -0.3 0. 0.3 0.5], shape=(5, ), dtype=float64) Result: tf.Tensor([1.12762597 1.04533851 1. 1.04533851 1.12762597], shape=(5, ), dtype=float64)
Example 2: Visualization
Python3
# Importing the libraryimport tensorflow as tfimport matplotlib.pyplot as plt# Initializing the input tensora = tf.constant([-.5, -.3, 0, .3, .5], dtype = tf.float64)# Calculating tangentres = tf.math.cosh(x = a)# Plotting the graphplt.plot(a, res, color ='green')plt.title('tensorflow.math.cosh')plt.xlabel('Input')plt.ylabel('Result')plt.show() |
Output:
