tf.keras.initializers.Constant

Initializer that generates tensors with constant values.

Inherits From: Initializer

tf.keras.initializers.Constant(
    value=0.0
)

Used in the notebooks

Used in the tutorials

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

Examples:

# Standalone usage:
initializer = Constant(10.)
values = initializer(shape=(2, 2))
 
# Usage in a Keras layer:
initializer = Constant(10.)
layer = Dense(3, kernel_initializer=initializer)

value A Python scalar.

Methods

clone

View source

clone()

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, the output of get_config().

Returns
An Initializer instance.

get_config

View source

get_config()

Returns the initializer's configuration as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__call__

View source

__call__(
    shape, dtype=None
)

Returns a tensor object initialized as specified by the initializer.

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