📜  Python – tensorflow.math.reduce_variance()

📅  最后修改于: 2022-05-13 01:54:34.882000             🧑  作者: Mango

Python – tensorflow.math.reduce_variance()

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。

reduce_variance()用于查找张量维度上元素的方差。

示例 1:

Python3
# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([1, 2, 3, 4], dtype = tf.float64)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.reduce_variance(a)
 
# Printing the result
print('Result: ', res)


Python3
# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([[1, 2], [3, 4]], dtype = tf.float64)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.reduce_variance(a, axis = 1, keepdims = True)
 
# Printing the result
print('Result: ', res)


输出:

Input:  tf.Tensor([1. 2. 3. 4.], shape=(4, ), dtype=float64)
Result:  tf.Tensor(1.25, shape=(), dtype=float64)

示例 2:

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([[1, 2], [3, 4]], dtype = tf.float64)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating result
res = tf.math.reduce_variance(a, axis = 1, keepdims = True)
 
# Printing the result
print('Result: ', res)

输出:

Input:  tf.Tensor(
[[1. 2.]
 [3. 4.]], shape=(2, 2), dtype=float64)
Result:  tf.Tensor(
[[0.25]
 [0.25]], shape=(2, 1), dtype=float64)