Python – tensorflow.math.asinh()
TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks.
asinh() is used to find element wise hyperbolic asinh of x.
Syntax: tf.math.asinh(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 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.asinh(x = a) # Printing the result print ( 'Result: ' , res) |
Output:
Input: tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64) Result: tf.Tensor([0.88137359 1.44363548 1.81844646 2.09471255 2.31243834], shape=(5, ), dtype=float64)
Example 2: Visualization
Python3
# 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.asinh(x = a) # Plotting the graph plt.plot(a, res, color = 'green' ) plt.title( 'tensorflow.math.asinh' ) plt.xlabel( 'Input' ) plt.ylabel( 'Result' ) plt.show() |
Output:
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