Python – tensorflow.math.sinh()

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks.
sinh() is used to find element wise hyperbolic sine of x.

Syntax: tf.math.sinh(x, name)

Parameters: 

  • x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, complex64, complex128.
  • name(optional): It’s defines the name for the operation.
     

Returns:  It returns a tensor of same dtype as x.
 

Example 1:



Python3

filter_none

edit
close

play_arrow

link
brightness_4
code

# Importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([1, 2, 3, 4, 5], dtype = tf.float64)
  
# Printing the input tensor
print('Input: ', a)
  
# Calculating tangent
res = tf.math.sinh(x = a)
  
# Printing the result
print('Result: ', res)

chevron_right


Output:

Input:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([ 1.17520119  3.62686041 10.01787493 27.2899172  74.20321058], shape=(5, ), dtype=float64)


Example 2: Visualization

Python3

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing the library
import tensorflow as tf
import matplotlib.pyplot as plt
  
# Initializing the input tensor
a = tf.constant([1, 2, 3, 4, 5], dtype = tf.float64)
  
# Calculating tangent
res = tf.math.sinh(x = a)
  
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.sinh')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

chevron_right


Output:

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.




My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.