tf.keras.initializers.GlorotUniform
The Glorot uniform initializer, also called Xavier uniform initializer.
Inherits From: VarianceScaling
, Initializer
tf.keras.initializers.GlorotUniform( seed=None )
Also available via the shortcut function tf.keras.initializers.glorot_uniform
.
Draws samples from a uniform distribution within [-limit, limit]
, where limit = sqrt(6 / (fan_in + fan_out))
(fan_in
is the number of input units in the weight tensor and fan_out
is the number of output units).
Examples:
# Standalone usage: initializer = tf.keras.initializers.GlorotUniform() values = initializer(shape=(2, 2))
# Usage in a Keras layer: initializer = tf.keras.initializers.GlorotUniform() layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)
Args | |
---|---|
seed |
A Python integer. Used to make the behavior of the initializer deterministic. Note that a seeded initializer will not produce the same random values across multiple calls, but multiple initializers will produce the same sequence when constructed with the same seed value. |
References:
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, the output of get_config . |
Returns | |
---|---|
A tf.keras.initializers.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 as specified by the initializer.
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. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/initializers/GlorotUniform