On this page
tf.keras.initializers.TruncatedNormal
Initializer that generates a truncated normal distribution.
Inherits From: Initializer
tf.keras.initializers.TruncatedNormal(
    mean=0.0, stddev=0.05, seed=None
)
Also available via the shortcut function tf.keras.initializers.truncated_normal.
The values generated are similar to values from a tf.keras.initializers.RandomNormal initializer except that values more than two standard deviations from the mean are discarded and re-drawn.
Examples:
# Standalone usage:
initializer = tf.keras.initializers.TruncatedNormal(mean=0., stddev=1.)
values = initializer(shape=(2, 2))
# Usage in a Keras layer:
initializer = tf.keras.initializers.TruncatedNormal(mean=0., stddev=1.)
layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)
| Args | |
|---|---|
| mean | a python scalar or a scalar tensor. Mean of the random values to generate. | 
| stddev | a python scalar or a scalar tensor. Standard deviation of the random values to generate. | 
| seed | A Python integer. An initializer created with a given seed will always produce the same random tensor for a given shape and dtype. | 
Methods
from_config
  
  @classmethod
from_config(
    config
)
Instantiates an initializer from a configuration dictionary.
Example:
initializer = RandomUniform(-1, 1)
config = initializer.get_config()
initializer = RandomUniform.from_config(config)
| Args | |
|---|---|
| config | A Python dictionary. It will typically be the output of get_config. | 
| Returns | |
|---|---|
| An Initializer instance. | 
get_config
  
  get_config()
Returns the configuration of the initializer as a JSON-serializable dict.
| Returns | |
|---|---|
| A JSON-serializable Python dict. | 
__call__
  
  __call__(
    shape, dtype=None, **kwargs
)
Returns a tensor object initialized to random normal values (truncated).
| Args | |
|---|---|
| shape | Shape of the tensor. | 
| dtype | Optional dtype of the tensor. Only floating point types are supported. If not specified, tf.keras.backend.floatx()is used, which default tofloat32unless you configured it otherwise (viatf.keras.backend.set_floatx(float_dtype)) | 
| **kwargs | Additional keyword arguments. | 
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/initializers/TruncatedNormal