tf.keras.initializers.RandomNormal

Initializer that generates tensors with a normal distribution.

Inherits From: random_normal_initializer, Initializer

View aliases

Main aliases

tf.initializers.RandomNormal, tf.initializers.random_normal, tf.keras.initializers.random_normal

tf.keras.initializers.RandomNormal(
    mean=0.0, stddev=0.05, seed=None
)

Also available via the shortcut function tf.keras.initializers.random_normal.

Examples:

# Standalone usage:
initializer = tf.keras.initializers.RandomNormal(mean=0., stddev=1.)
values = initializer(shape=(2, 2))

# Usage in a Keras layer:
initializer = tf.keras.initializers.RandomNormal(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`

View source

@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`

View source

get_config()

Returns the configuration of the initializer as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

`call`

View source

__call__(
    shape, dtype=None, **kwargs
)

Returns a tensor object initialized to random normal values.

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 to `float32` unless you configured it otherwise (via `tf.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/RandomNormal