📜  Python – tensorflow.math.erfc()

📅  最后修改于: 2022-05-13 01:55:14.848000             🧑  作者: Mango

# Python – tensorflow.math.erfc()

erfc()用于计算元素方式的互补高斯误差函数。

##### 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 complementary Gauss error
res = tf.math.erfc(x = a)

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

##### 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 complementary Gauss error
res = tf.math.erfc(x = a)

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

``````Input:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor(
[1.57299207e-01 4.67773498e-03 2.20904970e-05 1.54172579e-08
1.53745979e-12], shape=(5, ), dtype=float64)

``````

## 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 complementary Gauss error
res = tf.math.erfc(x = a)

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