Python - tensorflow.math.subtract()

Python - tensorflow.math.sqrt()

Last Updated : 16 Jun, 2020

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.

sqrt() is used to compute element wise square root.

Syntax: tensorflow.math.sqrt(x, name)

Parameters:

x: It's a tensor. Allowed dtypes are bfloat16, half, float32, float64, complex64, complex128.
name(optional): It defines the name for the operation.

Returns: It returns a tensor.

Example 1:

Python3

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([ 5, 7, 9, 15], dtype = tf.float64)

# Printing the input tensor
print('a: ', a)

# Calculating result
res = tf.math.sqrt(a)

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

Output:

a:  tf.Tensor([ 5.  7.  9. 15.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([2.23606798 2.64575131 3.         3.87298335], shape=(4, ), dtype=float64)

Example 2: Visualization

Python3

# import tensorflow as tf
import matplotlib.pyplot as plt

# Initializing the input tensor
a = tf.constant([ 5, 7, 9, 15], dtype = tf.float64)

# Calculating tangent
res = tf.math.sqrt(a)

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

Output:

Python - tensorflow.math.subtract()

aman neekhara

Improve

Article Tags :

Practice Tags :

Machine Learning

Similar Reads

Python - tensorflow.math.rsqrt()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. rsqrt() is used to find element-wise reciprocal of square root of x. Syntax: tf.math.rsqrt(x, name) Parameter: x: It's the input tensor. Allowed dtype for this tensor ar

Python - tensorflow.math.rint()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. rint() is used to find element-wise integer closest to x. Syntax: tf.math.rint(x, name) Parameter: x: It's the input tensor. Allowed dtype for this tensor are bfloat16,

Python - tensorflow.math.sin()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. sin() is used to find element wise sine of x. Syntax: tf.math.sin(x, name) Parameters:Â x: It's the input tensor. Allowed dtype for this tensor are bfloat16, half, float

Python - tensorflow.math.tan()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. tan() is used to find element wise tangent of x. Syntax: tf.math.tan(x, name) Parameters:Â x: It's the input tensor. Allowed dtype for this tensor are bfloat16, half, fl

Python - tensorflow.math.subtract()

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. subtract() is used to compute element wise (x-y). Syntax: tensorflow.math.subtract(x, y, name) Parameters: x: It's a tensor. Allowed dtypes are bfloat16, half, float32, f

Python - tensorflow.math.sign()

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. sign() is used to find element wise indication of the sign of a number. Specifically, y = sign(x) = -1 if x < 0; 0 if x == 0; 1 if x > 0. For complex numbers, y = s

Python - tensorflow.math.sinh()

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning Â neural networks. sinh() is used to find element wise hyperbolic sine of x. Syntax: tf.math.sinh(x, name) Parameters:Â x: It's the input tensor. Allowed dtype for this tensor are bfloat16

Python - tensorflow.math.real()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. real() is used to find element wise real part of a tensor. Syntax: tf.math.real(x, name) Parameter: x: It's the input tensor. Allowed dtype for this tensor are bfloat16,

Python - tensorflow.math.tanh()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. tanh() is used to find element wise hyperbolic tangent of x. Syntax: tf.math.tanh(x, name) Parameters:Â x: It's the input tensor. Allowed dtype for this tensor are bfloa

Python - tensorflow.math.round()

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning Â neural networks. round() is used to find element-wise nearest integer of x. Syntax: tf.math.round(x, name) Parameter: x: It's the input tensor. Allowed dtype for this tensor are bfloat16