tf.keras.initializers.Identity

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Class Identity

Initializer that generates the identity matrix.

Inherits From: Initializer

Aliases:

  • Class tf.compat.v2.initializers.Identity
  • Class tf.compat.v2.initializers.identity
  • Class tf.compat.v2.keras.initializers.Identity
  • Class tf.compat.v2.keras.initializers.identity
  • Class tf.initializers.Identity
  • Class tf.initializers.identity
  • Class tf.keras.initializers.identity

Only use for 2D matrices.

Args:

  • gain: Multiplicative factor to apply to the identity matrix.

__init__

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__init__(gain=1.0)

Initialize self. See help(type(self)) for accurate signature.

Methods

__call__

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__call__(
    shape,
    dtype=tf.dtypes.float32
)

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.

Raises:

  • ValueError: If the dtype is not floating point

from_config

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from_config(
    cls,
    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

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get_config()

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

Returns:

A JSON-serializable Python dict.

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