tf.keras.initializers.Constant

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Initializer that generates tensors with constant values.

Inherits From: Initializer

Used in the notebooks

Used in the tutorials

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

Only scalar values are allowed. The constant value provided must be convertible to the dtype requested when calling the initializer.

Examples:

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

value A Python scalar.

Methods

from_config

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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

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

Returns
A JSON-serializable Python dict.

__call__

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Returns a tensor object initialized to self.value.

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