Python – tensorflow.math.acosh()

TensorFlow 是由 Google 设计的开源Python库，用于开发机器学习模型和深度学习神经网络。
acosh()用于查找 x 的元素明智双曲 acos。

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

Parameters: 

• x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.
• name(optional): It’s defines the name for the operation.
   

Returns:  It returns a tensor of same dtype as x.
 

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

输出：

Input:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64)
Result:  tf.Tensor([0.         1.3169579  1.76274717 2.06343707 2.29243167], shape=(5, ), dtype=float64)

示例 2：可视化

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

输出：