Python – tensorflow.math.tanh()

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

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

Parameters:

x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, complex64, complex128.

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.tanh(x = a)
 
# Printing the result
print('Result: ', res)

Output:

a:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([0.76159416 0.96402758 0.99505475 0.9993293  0.9999092 ], 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.tanh(x = a)
 
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.tanh')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()