TensorFlow

API

 tf.keras / initializers / initializers.he_normal


Initializer that generates the identity matrix.

Inherits From: Initializer

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

Only usable for generating 2D matrices.

Examples:

# Standalone usage:
initializer = tf.keras.initializers.Identity()
values = initializer(shape=(2, 2))
# Usage in a Keras layer:
initializer = tf.keras.initializers.Identity()
layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)

gain Multiplicative factor to apply to the identity matrix.

Methods

from_config

View source

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

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

Returns
A JSON-serializable Python dict.

__call__

View source

Returns a tensor object initialized to a 2D identity matrix.

Args
shape Shape of the tensor. It should have exactly rank 2.
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.

此页内容是否对您有帮助