Python - tensorflow.raw_ops.Tanh()

Python - tensorflow.raw_ops.Tanh()

Last Updated : 06 Mar, 2023

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Tanh() is used to find element wise hyperbolic tangent of x.

Syntax: tf.raw_ops.Tanh(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.

Note: It only takes keyword arguments.

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 hyperbolic tangent
res = tf.raw_ops.Tanh(x = a)

# Printing the result
print('Result: ', res)

Output:

Input:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([0.76159416 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 hyperbolic tangent
res = tf.raw_ops.Tanh(x = a)

# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.raw_ops.Tanh')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

Output:

Python - tensorflow.raw_ops.Tanh()

A

aman neekhara

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python - tensorflow.raw_ops.Tan()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Tan() is used to find element wise tangent of x. Syntax: tf.raw_ops.Tan(x, name) Parameters:

Python - tensorflow.raw_ops.Sinh()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Sinh() is used to find element wise hyperbolic sine of x. Syntax: tf.raw_ops.Sinh(x, name) Par

Python - tensorflow.raw_ops.Sin()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Sin() is used to find element wise sine of x. Syntax: tf.raw_ops.Sin(x, name) Parameters:Â x:

Python - tensorflow.raw_ops.Exp()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Exp() is used to find element wise exponential of x. For complex numbers e^(x+iy) = e^x * e^iy

Python - tensorflow.raw_ops.Log()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Log() is used to find element wise logarithm of x. Syntax: tf.raw_ops.Log(x, name) Parameters: