tf.keras.backend.random_normal_variable
    
    
      
    
    
      
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Instantiates a variable with values drawn from a normal distribution.
tf.keras.backend.random_normal_variable(
    shape, mean, scale, dtype=None, name=None, seed=None
)
Arguments | 
shape
 | 
Tuple of integers, shape of returned Keras variable.
 | 
mean
 | 
Float, mean of the normal distribution.
 | 
scale
 | 
Float, standard deviation of the normal distribution.
 | 
dtype
 | 
String, dtype of returned Keras variable.
 | 
name
 | 
String, name of returned Keras variable.
 | 
seed
 | 
Integer, random seed.
 | 
Returns | 
| 
A Keras variable, filled with drawn samples.
 | 
Example:
TensorFlow example
kvar = tf.keras.backend.random_normal_variable((2,3), 0, 1)
kvar
  
  
 
  
    
    
      
       
    
    
  
  
  Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
  Last updated 2020-10-01 UTC.
  
  
  
    
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