TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
erf() is used to compute element wise Gauss error function.
Syntax: tensorflow.math.erf( x, name)
Parameters:
- x: It's the input tensor. Allowed dtypes 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:
# 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 Gauss error
res = tf.math.erf(x = a)
# Printing the result
print('Result: ', res)
Output:
Input: tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64) Result: tf.Tensor([0.84270079 0.99532227 0.99997791 0.99999998 1. ], shape=(5, ), dtype=float64)
Example 2: Visualization
# 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 Gauss error
res = tf.math.erf(x = a)
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.erf')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()
Output:
