tf.random.normal
    
    
      
    
    
      
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Outputs random values from a normal distribution.
tf.random.normal(
    shape, mean=0.0, stddev=1.0, dtype=tf.dtypes.float32, seed=None, name=None
)
| Args | 
|---|
| shape | A 1-D integer Tensor or Python array. The shape of the output tensor. | 
| mean | A 0-D Tensor or Python value of type dtype. The mean of the normal
distribution. | 
| stddev | A 0-D Tensor or Python value of type dtype. The standard deviation
of the normal distribution. | 
| dtype | The type of the output. | 
| seed | A Python integer. Used to create a random seed for the distribution.
See tf.compat.v1.set_random_seedfor behavior. | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| A tensor of the specified shape filled with random normal values. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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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