tf.keras.initializers.HeNormal

He normal initializer.

Inherits From: VarianceScaling, Initializer

View aliases

Main aliases

tf.initializers.HeNormal, tf.initializers.he_normal, tf.keras.initializers.he_normal

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

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

It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(2 / fan_in) where fan_in is the number of input units in the weight tensor.

Examples:

# Standalone usage:
initializer = tf.keras.initializers.HeNormal()
values = initializer(shape=(2, 2))

# Usage in a Keras layer:
initializer = tf.keras.initializers.HeNormal()
layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)

Arguments
`seed`	A Python integer. An initializer created with a given seed will always produce the same random tensor for a given shape and dtype.

References:

He et al., 2015 (pdf)

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 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.

© 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/HeNormal