tf.keras.initializers.GlorotNormal  |  TensorFlow v2.16.1 (original) (raw)

tf.keras.initializers.GlorotNormal

Stay organized with collections Save and categorize content based on your preferences.

The Glorot normal initializer, also called Xavier normal initializer.

Inherits From: VarianceScaling, Initializer

View aliases

Main aliases

tf.keras.initializers.glorot_normal

tf.keras.initializers.GlorotNormal(
    seed=None
)

Used in the notebooks

Used in the tutorials
Building Your Own Federated Learning Algorithm Composing Learning Algorithms

Draws samples from a truncated normal distribution centered on 0 withstddev = sqrt(2 / (fan_in + fan_out)) where fan_in is the number of input units in the weight tensor and fan_out is the number of output units in the weight tensor.

Examples:

# Standalone usage: initializer = GlorotNormal() values = initializer(shape=(2, 2))

# Usage in a Keras layer: initializer = GlorotNormal() layer = Dense(3, kernel_initializer=initializer)

Args
seed A Python integer or instance ofkeras.backend.SeedGenerator. Used to make the behavior of the initializer deterministic. Note that an initializer seeded with an integer or None (unseeded) will produce the same random values across multiple calls. To get different random values across multiple calls, use as seed an instance of keras.backend.SeedGenerator.

Reference:

Methods

clone

View source

clone()

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, the output of get_config().
Returns
An Initializer instance.

get_config

View source

get_config()

Returns the initializer's configuration as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__call__

View source

__call__(
    shape, dtype=None
)

Returns a tensor object initialized as specified by the initializer.

Args
shape Shape of the tensor.
dtype Optional dtype of the tensor.