📜  Python – tensorflow.math.bessel_i1()函数

📅  最后修改于: 2022-05-13 01:55:41.267000             🧑  作者: Mango

Python – tensorflow.math.bessel_i1()函数

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。 bessel_i1()是 tensorflow 数学模块中的函数。此函数用于查找元素明智的一阶修正贝塞尔函数。

示例 1:

Python3
# importing the library
import tensorflow as tf
  
# initializing the input
a = tf.constant([1,2,3,4,5], dtype = tf.float64)
  
# printing the input 
print('a: ',a)
  
# evaluating the result
r = tf.math.bessel_i1(a)
  
# printing the result
print("Result: ",r)


Python3
# importing the library
import tensorflow as tf
import matplotlib.pyplot as plt 
  
# initializing the input
a = tf.constant([1,2,3,4,5], dtype = tf.float64)
  
# evaluating the result
r = tf.math.bessel_i1(a)
  
#plotting the graph
plt.plot(a, r, color = 'green', marker = "o")  
plt.title("tensorflow.math.bessel_i1")  
plt.xlabel("Input")  
plt.ylabel("Result")  
plt.show()


输出:

a:  tf.Tensor([1. 2. 3. 4. 5.], shape=(5,), dtype=float64)
Result:  tf.Tensor([ 0.5651591   1.59063685  3.95337022  9.75946515 24.33564214], 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
a = tf.constant([1,2,3,4,5], dtype = tf.float64)
  
# evaluating the result
r = tf.math.bessel_i1(a)
  
#plotting the graph
plt.plot(a, r, color = 'green', marker = "o")  
plt.title("tensorflow.math.bessel_i1")  
plt.xlabel("Input")  
plt.ylabel("Result")  
plt.show() 

输出: