Python – tensorflow.math.cosh()

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。 cosh()用于查找 x 的元素双曲 cos。

Syntax: tf.math.cosh(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([ -.5, -.3, 0, .3, .5], dtype = tf.float64)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating tangent
res = tf.math.cosh(x = a)
 
# Printing the result
print('Result: ', res)

输出：

Input:  tf.Tensor([-0.5 -0.3  0.   0.3  0.5], shape=(5, ), dtype=float64)
Result:  tf.Tensor([1.12762597 1.04533851 1.         1.04533851 1.12762597], 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([-.5, -.3, 0, .3, .5], dtype = tf.float64)
 
# Calculating tangent
res = tf.math.cosh(x = a)
 
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.math.cosh')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()

输出：