Python – tensorflow.math.acosh()
Last Updated :
03 Apr, 2023
TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks.
acosh() is used to find element wise hyperbolic acosh of x.
Syntax: tf.math.acosh(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
import tensorflow as tf
a = tf.constant([ 1 , 2 , 3 , 4 , 5 ], dtype = tf.float64)
print ( 'Input: ' , a)
res = tf.math.acosh(x = a)
print ( 'Result: ' , res)
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Output:
Input: tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result: tf.Tensor([0. 1.3169579 1.76274717 2.06343707 2.29243167], shape=(5, ), dtype=float64)
Example 2: Visualization
Python3
import tensorflow as tf
import matplotlib.pyplot as plt
a = tf.constant([ 1 , 2 , 3 , 4 , 5 ], dtype = tf.float64)
res = tf.math.acosh(x = a)
plt.plot(a, res, color = 'green' )
plt.title( 'tensorflow.math.acosh' )
plt.xlabel( 'Input' )
plt.ylabel( 'Result' )
plt.show()
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Output:
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